1
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Harker SA, Preissner M, Chang RY, Trevascus D, Liu C, Wang Y, Chow MYT, Cmielewski P, Reyne N, How YY, Pollock JA, Klein M, Wright CA, Dubsky S, Donnelley M, Chan HK, Morgan KS. Using X-ray velocimetry to measure lung function and assess the efficacy of a pseudomonas aeruginosa bacteriophage therapy for cystic fibrosis. Sci Rep 2024; 14:29727. [PMID: 39614107 DOI: 10.1038/s41598-024-80326-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 11/18/2024] [Indexed: 12/01/2024] Open
Abstract
Phase contrast x-ray imaging (PCXI) provides high-contrast images of weakly-attenuating structures like the lungs. PCXI, when paired with 4D X-ray Velocimetry (XV), can measure regional lung function and non-invasively assess the efficacy of emerging therapeutics. Bacteriophage therapy is an emerging antimicrobial treatment option for lung diseases such as cystic fibrosis (CF), particularly with increasing rates of multi-drug-resistant infections. Current efficacy assessment in animal models is highly invasive, typically requiring histological assessment. We aim to use XV techniques as non-invasive alternatives to demonstrate efficacy of bacteriophage therapy for treating Pseudomonas aeruginosa CF lung infections, measuring functional changes post-treatment. Time-resolved in vivo PCXI-CT scans of control, Pseudomonas-infected, and phage-treated mouse lungs were taken at the Australian Synchrotron Imaging and Medical Beamline. Using XV we measured local lung expansion and ventilation throughout the breath cycle, analysing the skew of the lung expansion distribution. CT images allowed visualisation of the projected air volume in the lungs, assessing structural lung damage. XV analysis demonstrated changes in lung expansion between infection and control groups, however there were no statistically significant differences between treated and placebo groups. In some cases where structural changes were not evident in the CT scans, XV successfully detected changes in lung function.
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Affiliation(s)
- Stephanie A Harker
- School of Clinical Sciences, Monash University, Melbourne, VIC, 3800, Australia.
| | - Melissa Preissner
- Faculty of Engineering, Monash University, Melbourne, VIC, 3800, Australia
| | - Rachel Yoon Chang
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - David Trevascus
- School of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia
| | - Chengxi Liu
- Advanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia
| | - Yuncheng Wang
- Advanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia
| | - Michael Y T Chow
- Advanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia
- Department of Pharmaceutics, University College London, London, UK
| | - Patricia Cmielewski
- Adelaide Medical School, University of Adelaide, and Robinson Research Institute, Adelaide, SA, 5005, Australia
| | - Nicole Reyne
- Adelaide Medical School, University of Adelaide, and Robinson Research Institute, Adelaide, SA, 5005, Australia
| | - Ying Ying How
- School of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia
| | - James A Pollock
- School of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia
| | - Mitzi Klein
- ANSTO, Australian Synchrotron, Melbourne, VIC, 3168, Australia
| | | | - Stephen Dubsky
- Faculty of Engineering, Monash University, Melbourne, VIC, 3800, Australia
| | - Martin Donnelley
- Adelaide Medical School, University of Adelaide, and Robinson Research Institute, Adelaide, SA, 5005, Australia
| | - Hak-Kim Chan
- Advanced Drug Delivery Group, Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2050, Australia
| | - Kaye S Morgan
- School of Physics and Astronomy, Monash University, Melbourne, VIC, 3800, Australia
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Reichmann J, Sarrazin C, Schmale S, Blaurock C, Balkema-Buschmann A, Schmitzer B, Salditt T. 3D imaging of SARS-CoV-2 infected hamster lungs by X-ray phase contrast tomography enables drug testing. Sci Rep 2024; 14:12348. [PMID: 38811688 PMCID: PMC11137149 DOI: 10.1038/s41598-024-61746-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024] Open
Abstract
X-ray Phase Contrast Tomography (XPCT) based on wavefield propagation has been established as a high resolution three-dimensional (3D) imaging modality, suitable to reconstruct the intricate structure of soft tissues, and the corresponding pathological alterations. However, for biomedical research, more is needed than 3D visualisation and rendering of the cytoarchitecture in a few selected cases. First, the throughput needs to be increased to cover a statistically relevant number of samples. Second, the cytoarchitecture has to be quantified in terms of morphometric parameters, independent of visual impression. Third, dimensionality reduction and classification are required for identification of effects and interpretation of results. To address these challenges, we here design and implement a novel integrated and high throughput XPCT imaging and analysis workflow for 3D histology, pathohistology and drug testing. Our approach uses semi-automated data acquisition, reconstruction and statistical quantification. We demonstrate its capability for the example of lung pathohistology in Covid-19. Using a small animal model, different Covid-19 drug candidates are administered after infection and tested in view of restoration of the physiological cytoarchitecture, specifically the alveolar morphology. To this end, we then use morphometric parameter determination followed by a dimensionality reduction and classification based on optimal transport. This approach allows efficient discrimination between physiological and pathological lung structure, thereby providing quantitative insights into the pathological progression and partial recovery due to drug treatment. Finally, we stress that the XPCT image chain implemented here only used synchrotron radiation for validation, while the data used for analysis was recorded with laboratory μ CT radiation, more easily accessible for pre-clinical research.
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Affiliation(s)
- Jakob Reichmann
- Georg-August-University of Göttingen, Institute for X-Ray Physics, Friedrich-Hund-Platz 1, 37077, Göttingen, Germany
| | - Clement Sarrazin
- Georg-August-University of Göttingen, Institute of Computer Science, Goldschmidtstraße 7, 37077, Göttingen, Germany
- Equipe RAPSODI, Centre INRIA de l'université de Lille, F-59000, Lille, France
| | - Sebastian Schmale
- Georg-August-University of Göttingen, Institute of Computer Science, Goldschmidtstraße 7, 37077, Göttingen, Germany
| | - Claudia Blaurock
- Friedrich-Loeffler-Institute, Südufer 10, 17493, Greifswald, Insel Riems, Germany
| | | | - Bernhard Schmitzer
- Georg-August-University of Göttingen, Institute of Computer Science, Goldschmidtstraße 7, 37077, Göttingen, Germany.
| | - Tim Salditt
- Georg-August-University of Göttingen, Institute for X-Ray Physics, Friedrich-Hund-Platz 1, 37077, Göttingen, Germany.
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3
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Smith R, Morgan K, McCarron A, Cmielewski P, Reyne N, Parsons D, Donnelley M. Ultra-fast in vivodirectional dark-field x-ray imaging for visualising magnetic control of particles for airway gene delivery. Phys Med Biol 2024; 69:105025. [PMID: 38640914 DOI: 10.1088/1361-6560/ad40f5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 04/19/2024] [Indexed: 04/21/2024]
Abstract
Objective.Magnetic nanoparticles can be used as a targeted delivery vehicle for genetic therapies. Understanding how they can be manipulated within the complex environment of live airways is key to their application to cystic fibrosis and other respiratory diseases.Approach.Dark-field x-ray imaging provides sensitivity to scattering information, and allows the presence of structures smaller than the detector pixel size to be detected. In this study, ultra-fast directional dark-field synchrotron x-ray imaging was utlilised to understand how magnetic nanoparticles move within a live, anaesthetised, rat airway under the influence of static and moving magnetic fields.Main results.Magnetic nanoparticles emerging from an indwelling tracheal cannula were detectable during delivery, with dark-field imaging increasing the signal-to-noise ratio of this event by 3.5 times compared to the x-ray transmission signal. Particle movement as well as particle retention was evident. Dynamic magnetic fields could manipulate the magnetic particlesin situ. Significance.This is the first evidence of the effectiveness ofin vivodark-field imaging operating at these spatial and temporal resolutions, used to detect magnetic nanoparticles. These findings provide the basis for further development toward the effective use of magnetic nanoparticles, and advance their potential as an effective delivery vehicle for genetic agents in the airways of live organisms.
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Affiliation(s)
- Ronan Smith
- Adelaide Medical School, University of Adelaide, North Terrace, Adelaide, Australia
- Women's and Children's Hospital, King William Road, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, King William Road, Adelaide, Australia
| | - Kaye Morgan
- Department of Physics, Monash University, Wellington Road, Melbourne, Australia
| | - Alexandra McCarron
- Adelaide Medical School, University of Adelaide, North Terrace, Adelaide, Australia
- Women's and Children's Hospital, King William Road, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, King William Road, Adelaide, Australia
| | - Patricia Cmielewski
- Adelaide Medical School, University of Adelaide, North Terrace, Adelaide, Australia
- Women's and Children's Hospital, King William Road, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, King William Road, Adelaide, Australia
| | - Nicole Reyne
- Adelaide Medical School, University of Adelaide, North Terrace, Adelaide, Australia
- Women's and Children's Hospital, King William Road, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, King William Road, Adelaide, Australia
| | - David Parsons
- Adelaide Medical School, University of Adelaide, North Terrace, Adelaide, Australia
- Women's and Children's Hospital, King William Road, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, King William Road, Adelaide, Australia
| | - Martin Donnelley
- Adelaide Medical School, University of Adelaide, North Terrace, Adelaide, Australia
- Women's and Children's Hospital, King William Road, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, King William Road, Adelaide, Australia
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4
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Donnelley M, Lagerquist L, Cmielewski P, Reyne N, Morgan K, Parsons D. Noncontact Respiratory Motion Detection in Anesthetized Rodents. JOURNAL OF THE AMERICAN ASSOCIATION FOR LABORATORY ANIMAL SCIENCE : JAALAS 2023; 62:559-568. [PMID: 37816589 PMCID: PMC10772912 DOI: 10.30802/aalas-jaalas-23-000018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/31/2023] [Accepted: 07/17/2023] [Indexed: 10/12/2023]
Abstract
Small animal physiology studies are often complicated, but the level of complexity is greatly increased when performing live-animal X-ray imaging studies at synchrotron radiation facilities. This is because these facilities are typically not designed specifically for biomedical research, and the animals and image detectors are located away from the researchers in a radiation enclosure. In respiratory X-ray imaging studies one challenge is the detection of respiration in free-breathing anaesthetised rodents, to enable images to be acquired at specific phases of the breath and for detecting changes in respiratory rate. We have previously used a Philtec RC60 sensor interfaced to a PowerLab data acquisition system and custom-designed timing hub to perform this task. Here we evaluated the Panasonic HL-G108 for respiratory sensing. The performance of the two sensors for accurate and reliable breath detection was directly compared using a single anesthetized rat. We also assessed how an infrared heat lamp used to maintain body temperature affected sensor performance. Based on positive results from these comparisons, the HL-G108 sensor was then used for respiratory motion detection in tracheal X-ray imaging studies of 21 rats at the SPring-8 Synchrotron, including its use for gated image acquisition. The results of that test were compared to a similar imaging study that used the RC60 for respiratory detection in 19 rats. Finally, the HL-G108 sensor was tested on 5 mice to determine its effectiveness on smaller species. The results showed that the HL-G108 is much more robust and easier to configure than the RC60 sensor and produces an analog signal that is amenable to stable peak detection. Furthermore, gated image acquisition produced sequences with substantially reduced motion artefacts, enabling the additional benefit of reduced radiation dose through the application of shuttering. Finally, the mouse experiments showed that the HL-G108 is equally capable of detecting respiration in this smaller species.
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Affiliation(s)
- Martin Donnelley
- Robinson Research Institute
- Adelaide Medical School, University of Adelaide, SA, 5001, Australia
- Respiratory and Sleep Medicine, Women’s and Children’s Hospital, North Adelaide, SA, 5006, Australia
| | - Lina Lagerquist
- College of Science and Engineering, Flinders University, SA, 5042, Australia; and
| | - Patricia Cmielewski
- Robinson Research Institute
- Adelaide Medical School, University of Adelaide, SA, 5001, Australia
- Respiratory and Sleep Medicine, Women’s and Children’s Hospital, North Adelaide, SA, 5006, Australia
| | - Nikki Reyne
- Robinson Research Institute
- Adelaide Medical School, University of Adelaide, SA, 5001, Australia
- Respiratory and Sleep Medicine, Women’s and Children’s Hospital, North Adelaide, SA, 5006, Australia
| | - Kaye Morgan
- School of Physics and Astronomy, Monash University, Clayton, Vic, 3800, Australia
| | - David Parsons
- Robinson Research Institute
- Adelaide Medical School, University of Adelaide, SA, 5001, Australia
- Respiratory and Sleep Medicine, Women’s and Children’s Hospital, North Adelaide, SA, 5006, Australia
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5
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Bairagi S, Abdollahifar MA, Atake OJ, Dust W, Wiebe S, Belev G, Chapman LD, Webb MA, Zhu N, Cooper DML, Eames BF. MRI overestimates articular cartilage thickness and volume compared to synchrotron radiation phase-contrast imaging. PLoS One 2023; 18:e0291757. [PMID: 37788257 PMCID: PMC10547194 DOI: 10.1371/journal.pone.0291757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 09/05/2023] [Indexed: 10/05/2023] Open
Abstract
Accurate evaluation of morphological changes in articular cartilage are necessary for early detection of osteoarthritis (OA). 3T magnetic resonance imaging (MRI) has highly sensitive contrast resolution and is widely used clinically to detect OA. However, synchrotron radiation phase-contrast imaging computed tomography (SR-PCI) can also provide contrast to tissue interfaces that do not have sufficient absorption differences, with the added benefit of very high spatial resolution. Here, MRI was compared with SR-PCI for quantitative evaluation of human articular cartilage. Medial tibial condyles were harvested from non-OA donors and from OA patients receiving knee replacement surgery. Both imaging methods revealed that average cartilage thickness and cartilage volume were significantly reduced in the OA group, compared to the non-OA group. When comparing modalities, the superior resolution of SR-PCI enabled more precise mapping of the cartilage surface relative to MRI. As a result, MRI showed significantly higher average cartilage thickness and cartilage volume, compared to SR-PCI. These data highlight the potential for high-resolution imaging of articular cartilage using SR-PCI as a solution for early OA diagnosis. Recognizing current limitations of using a synchrotron for clinical imaging, we discuss its nascent utility for preclinical models, particularly longitudinal studies of live animal models of OA.
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Affiliation(s)
- Suranjan Bairagi
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Mohammad-Amin Abdollahifar
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Oghenevwogaga J. Atake
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - William Dust
- Department of Surgery, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Sheldon Wiebe
- Department of Medical Imaging, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - George Belev
- Canadian Light Source Inc., Saskatoon, Saskatchewan, Canada
| | - L. Dean Chapman
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - M. Adam Webb
- Canadian Light Source Inc., Saskatoon, Saskatchewan, Canada
| | - Ning Zhu
- Canadian Light Source Inc., Saskatoon, Saskatchewan, Canada
| | - David M. L. Cooper
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - B. Frank Eames
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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6
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Häggmark I, Shaker K, Nyrén S, Al-Amiry B, Abadi E, P. Segars W, Samei E, M. Hertz H. Phase-contrast virtual chest radiography. Proc Natl Acad Sci U S A 2023; 120:e2210214120. [PMID: 36580596 PMCID: PMC9910502 DOI: 10.1073/pnas.2210214120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 11/22/2022] [Indexed: 12/30/2022] Open
Abstract
Respiratory X-ray imaging enhanced by phase contrast has shown improved airway visualization in animal models. Limitations in current X-ray technology have nevertheless hindered clinical translation, leaving the potential clinical impact an open question. Here, we explore phase-contrast chest radiography in a realistic in silico framework. Specifically, we use preprocessed virtual patients to generate in silico chest radiographs by Fresnel-diffraction simulations of X-ray wave propagation. Following a reader study conducted with clinical radiologists, we predict that phase-contrast edge enhancement will have a negligible impact on improving solitary pulmonary nodule detection (6 to 20 mm). However, edge enhancement of bronchial walls visualizes small airways (< 2 mm), which are invisible in conventional radiography. Our results show that phase-contrast chest radiography could play a future role in observing small-airway obstruction (e.g., relevant for asthma or early-stage chronic obstructive pulmonary disease), which cannot be directly visualized using current clinical methods, thereby motivating the experimental development needed for clinical translation. Finally, we discuss quantitative requirements on distances and X-ray source/detector specifications for clinical implementation of phase-contrast chest radiography.
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Affiliation(s)
- Ilian Häggmark
- Department of Applied Physics, KTH Royal Institute of Technology, 114 19, Stockholm, Sweden
| | - Kian Shaker
- Department of Applied Physics, KTH Royal Institute of Technology, 114 19, Stockholm, Sweden
| | - Sven Nyrén
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 171 76, Solna, Sweden
- Department of Radiology, Karolinska University Hospital, 171 76, Solna, Sweden
| | - Bariq Al-Amiry
- Department of Radiology, Karolinska University Hospital, 171 76, Solna, Sweden
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Ehsan Abadi
- Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC27705
| | - William P. Segars
- Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC27705
| | - Ehsan Samei
- Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC27705
| | - Hans M. Hertz
- Department of Applied Physics, KTH Royal Institute of Technology, 114 19, Stockholm, Sweden
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7
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Cao M, Zhang K, Zhang S, Wang Y, Chen C. Advanced Light Source Analytical Techniques for Exploring the Biological Behavior and Fate of Nanomedicines. ACS CENTRAL SCIENCE 2022; 8:1063-1080. [PMID: 36032763 PMCID: PMC9413437 DOI: 10.1021/acscentsci.2c00680] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Indexed: 05/09/2023]
Abstract
Exploration of the biological behavior and fate of nanoparticles, as affected by the nanomaterial-biology (nano-bio) interaction, has become progressively critical for guiding the rational design and optimization of nanomedicines to minimize adverse effects, support clinical translation, and aid in evaluation by regulatory agencies. Because of the complexity of the biological environment and the dynamic variations in the bioactivity of nanomedicines, in-situ, label-free analysis of the transport and transformation of nanomedicines has remained a challenge. Recent improvements in optics, detectors, and light sources have allowed the expansion of advanced light source (ALS) analytical technologies to dig into the underexplored behavior and fate of nanomedicines in vivo. It is increasingly important to further develop ALS-based analytical technologies with higher spatial and temporal resolution, multimodal data fusion, and intelligent prediction abilities to fully unlock the potential of nanomedicines. In this Outlook, we focus on several selected ALS analytical technologies, including imaging and spectroscopy, and provide an overview of the emerging opportunities for their applications in the exploration of the biological behavior and fate of nanomedicines. We also discuss the challenges and limitations faced by current approaches and tools and the expectations for the future development of advanced light sources and technologies. Improved ALS imaging and spectroscopy techniques will accelerate a profound understanding of the biological behavior of new nanomedicines. Such advancements are expected to inspire new insights into nanomedicine research and promote the development of ALS capabilities and methods more suitable for nanomedicine evaluation with the goal of clinical translation.
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Affiliation(s)
- Mingjing Cao
- CAS
Key Laboratory for Biomedical Effects of Nanomedicines and Nanosafety
& CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
| | - Kai Zhang
- Beijing
Synchrotron Radiation Facility, Institute
of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Shuhan Zhang
- CAS
Key Laboratory for Biomedical Effects of Nanomedicines and Nanosafety
& CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
| | - Yaling Wang
- CAS
Key Laboratory for Biomedical Effects of Nanomedicines and Nanosafety
& CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- The
GBA National Institute for Nanotechnology Innovation, Guangzhou 510700, China
| | - Chunying Chen
- CAS
Key Laboratory for Biomedical Effects of Nanomedicines and Nanosafety
& CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- The
GBA National Institute for Nanotechnology Innovation, Guangzhou 510700, China
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8
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Jung HW, Lee I, Lee SH, Morgan K, Parsons D, Donnelley M. Mucociliary Transit Assessment Using Automatic Tracking in Phase Contrast X-Ray Images of Live Mouse Nasal Airways. J Med Biol Eng 2022. [DOI: 10.1007/s40846-022-00718-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Abstract
Purpose
The rate of mucociliary transit (MCT) is an indicator of the hydration and health of the airways for cystic fibrosis (CF). To determine the effectiveness of cystic fibrosis respiratory therapies, we have developed a novel method to non-invasively quantify the local rate and patterns of MCT behaviour in vivo by using synchrotron phase contrast X-ray imaging (PCXI) to visualise the MCT motion of micron-sized spherical particles deposited onto the airway surfaces of live mice.
Methods
In this study the baseline MCT behaviour was assessed in the nasal airways of CFTR-null and normal mice which were then treated with hypertonic saline (HS) or mannitol. To assess MCT, the particle motion was tracked throughout the synchrotron PCXI sequences using fully-automated custom image analysis software.
Results
There was no significant difference in the MCT rate between normal and CFTR-null mice, but the analysis of MCT particle tracking showed that HS may have a longer duration of action in CFTR-null mice than in the normal mice.
Conclusion
This study demonstrated that changes in MCT rate in CF and normal mouse nasal airways can be measured using PCXI and customised tracking software and used for assessing the effects of airway rehydrating pharmaceutical treatments.
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Donnelley M, Cmielewski P, Morgan K, Delhove J, Reyne N, McCarron A, Rout-Pitt N, Drysdale V, Carpentieri C, Spiers K, Takeuchi A, Uesugi K, Yagi N, Parsons D. Improved in-vivo airway gene transfer via magnetic-guidance, with protocol development informed by synchrotron imaging. Sci Rep 2022; 12:9000. [PMID: 35637239 PMCID: PMC9151774 DOI: 10.1038/s41598-022-12895-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/11/2022] [Indexed: 11/24/2022] Open
Abstract
Gene vectors to treat cystic fibrosis lung disease should be targeted to the conducting airways, as peripheral lung transduction does not offer therapeutic benefit. Viral transduction efficiency is directly related to the vector residence time. However, delivered fluids such as gene vectors naturally spread to the alveoli during inspiration, and therapeutic particles of any form are rapidly cleared via mucociliary transit. Extending gene vector residence time within the conducting airways is important, but hard to achieve. Gene vector conjugated magnetic particles that can be guided to the conducting airway surfaces could improve regional targeting. Due to the challenges of in-vivo visualisation, the behaviour of such small magnetic particles on the airway surface in the presence of an applied magnetic field is poorly understood. The aim of this study was to use synchrotron imaging to visualise the in-vivo motion of a range of magnetic particles in the trachea of anaesthetised rats to examine the dynamics and patterns of individual and bulk particle behaviour in-vivo. We also then assessed whether lentiviral-magnetic particle delivery in the presence of a magnetic field increases transduction efficiency in the rat trachea. Synchrotron X-ray imaging revealed the behaviour of magnetic particles in stationary and moving magnetic fields, both in-vitro and in-vivo. Particles could not easily be dragged along the live airway surface with the magnet, but during delivery deposition was focussed within the field of view where the magnetic field was the strongest. Transduction efficiency was also improved six-fold when the lentiviral-magnetic particles were delivered in the presence of a magnetic field. Together these results show that lentiviral-magnetic particles and magnetic fields may be a valuable approach for improving gene vector targeting and increasing transduction levels in the conducting airways in-vivo.
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10
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Nanostructure-specific X-ray tomography reveals myelin levels, integrity and axon orientations in mouse and human nervous tissue. Nat Commun 2021; 12:2941. [PMID: 34011929 PMCID: PMC8134484 DOI: 10.1038/s41467-021-22719-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 03/24/2021] [Indexed: 01/05/2023] Open
Abstract
Myelin insulates neuronal axons and enables fast signal transmission, constituting a key component of brain development, aging and disease. Yet, myelin-specific imaging of macroscopic samples remains a challenge. Here, we exploit myelin’s nanostructural periodicity, and use small-angle X-ray scattering tensor tomography (SAXS-TT) to simultaneously quantify myelin levels, nanostructural integrity and axon orientations in nervous tissue. Proof-of-principle is demonstrated in whole mouse brain, mouse spinal cord and human white and gray matter samples. Outcomes are validated by 2D/3D histology and compared to MRI measurements sensitive to myelin and axon orientations. Specificity to nanostructure is exemplified by concomitantly imaging different myelin types with distinct periodicities. Finally, we illustrate the method’s sensitivity towards myelin-related diseases by quantifying myelin alterations in dysmyelinated mouse brain. This non-destructive, stain-free molecular imaging approach enables quantitative studies of myelination within and across samples during development, aging, disease and treatment, and is applicable to other ordered biomolecules or nanostructures. Small-angle X-ray scattering (SAXS) combines the high tissue penetration of X-rays with specificity to periodic nanostructures. The authors use SAXS tensor tomography (SAXS-TT) on intact mouse and human brain tissue samples, to quantify myelin levels and determine myelin integrity, myelinated axon orientation, and fibre tracts non-destructively.
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11
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X-ray Phase-Contrast Computed Tomography for Soft Tissue Imaging at the Imaging and Medical Beamline (IMBL) of the Australian Synchrotron. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11094120] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The Imaging and Medical Beamline (IMBL) is a superconducting multipole wiggler-based beamline at the 3 GeV Australian Synchrotron operated by the Australian Nuclear Science and Technology Organisation (ANSTO). The beamline delivers hard X-rays in the 25–120 keV energy range and offers the potential for a range of biomedical X-ray applications, including radiotherapy and medical imaging experiments. One of the imaging modalities available at IMBL is propagation-based X-ray phase-contrast computed tomography (PCT). PCT produces superior results when imaging low-density materials such as soft tissue (e.g., breast mastectomies) and has the potential to be developed into a valuable medical imaging tool. We anticipate that PCT will be utilized for medical breast imaging in the near future with the advantage that it could provide better contrast than conventional X-ray absorption imaging. The unique properties of synchrotron X-ray sources such as high coherence, energy tunability, and high brightness are particularly well-suited for generating PCT data using very short exposure times on the order of less than 1 min. The coherence of synchrotron radiation allows for phase-contrast imaging with superior sensitivity to small differences in soft-tissue density. Here we also compare the results of PCT using two different detectors, as these unique source characteristics need to be complemented with a highly efficient detector. Moreover, the application of phase retrieval for PCT image reconstruction enables the use of noisier images, potentially significantly reducing the total dose received by patients during acquisition. This work is part of ongoing research into innovative tomographic methods aimed at the introduction of 3D X-ray medical imaging at the IMBL to improve the detection and diagnosis of breast cancer. Major progress in this area at the IMBL includes the characterization of a large number of mastectomy samples, both normal and cancerous, which have been scanned at clinically acceptable radiation dose levels and evaluated by expert radiologists with respect to both image quality and cancer diagnosis.
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12
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Sanchez-Cano C, Alvarez-Puebla RA, Abendroth JM, Beck T, Blick R, Cao Y, Caruso F, Chakraborty I, Chapman HN, Chen C, Cohen BE, Conceição ALC, Cormode DP, Cui D, Dawson KA, Falkenberg G, Fan C, Feliu N, Gao M, Gargioni E, Glüer CC, Grüner F, Hassan M, Hu Y, Huang Y, Huber S, Huse N, Kang Y, Khademhosseini A, Keller TF, Körnig C, Kotov NA, Koziej D, Liang XJ, Liu B, Liu S, Liu Y, Liu Z, Liz-Marzán LM, Ma X, Machicote A, Maison W, Mancuso AP, Megahed S, Nickel B, Otto F, Palencia C, Pascarelli S, Pearson A, Peñate-Medina O, Qi B, Rädler J, Richardson JJ, Rosenhahn A, Rothkamm K, Rübhausen M, Sanyal MK, Schaak RE, Schlemmer HP, Schmidt M, Schmutzler O, Schotten T, Schulz F, Sood AK, Spiers KM, Staufer T, Stemer DM, Stierle A, Sun X, Tsakanova G, Weiss PS, Weller H, Westermeier F, Xu M, Yan H, Zeng Y, Zhao Y, Zhao Y, Zhu D, Zhu Y, Parak WJ. X-ray-Based Techniques to Study the Nano-Bio Interface. ACS NANO 2021; 15:3754-3807. [PMID: 33650433 PMCID: PMC7992135 DOI: 10.1021/acsnano.0c09563] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/25/2021] [Indexed: 05/03/2023]
Abstract
X-ray-based analytics are routinely applied in many fields, including physics, chemistry, materials science, and engineering. The full potential of such techniques in the life sciences and medicine, however, has not yet been fully exploited. We highlight current and upcoming advances in this direction. We describe different X-ray-based methodologies (including those performed at synchrotron light sources and X-ray free-electron lasers) and their potentials for application to investigate the nano-bio interface. The discussion is predominantly guided by asking how such methods could better help to understand and to improve nanoparticle-based drug delivery, though the concepts also apply to nano-bio interactions in general. We discuss current limitations and how they might be overcome, particularly for future use in vivo.
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Affiliation(s)
- Carlos Sanchez-Cano
- Center
for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014 Donostia San Sebastián, Spain
| | - Ramon A. Alvarez-Puebla
- Universitat
Rovira i Virgili, 43007 Tarragona, Spain
- ICREA, Passeig Lluís
Companys 23, 08010 Barcelona, Spain
| | - John M. Abendroth
- Department
of Materials Science and Engineering, Stanford
University, Stanford, California 94305, United States
| | - Tobias Beck
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Robert Blick
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Yuan Cao
- Department
of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Biointerfaces
Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Frank Caruso
- ARC
Centre of Excellence in Convergent Bio-Nano Science and Technology
and the Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Indranath Chakraborty
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Henry N. Chapman
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Centre
for Ultrafast Imaging, Universität
Hamburg, 22761 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Chunying Chen
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Bruce E. Cohen
- The
Molecular Foundry and Division of Molecular Biophysics and Integrated
Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | | | - David P. Cormode
- Radiology
Department, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Daxiang Cui
- School
of Chemistry and Chemical Engineering, Frontiers Science Center for
Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | | | - Gerald Falkenberg
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Chunhai Fan
- School
of Chemistry and Chemical Engineering, Frontiers Science Center for
Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Neus Feliu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- CAN, Fraunhofer Institut, 20146 Hamburg, Germany
| | - Mingyuan Gao
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Elisabetta Gargioni
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Claus-C. Glüer
- Section
Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Clinic Schleswig-Holstein and Christian-Albrechts-University
Kiel, 24105 Kiel, Germany
| | - Florian Grüner
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - Moustapha Hassan
- Karolinska University Hospital, Huddinge, and Karolinska
Institutet, 17177 Stockholm, Sweden
| | - Yong Hu
- College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China
| | - Yalan Huang
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Samuel Huber
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Nils Huse
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Yanan Kang
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ali Khademhosseini
- Terasaki Institute for Biomedical Innovation, Los Angeles, California 90049, United States
| | - Thomas F. Keller
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Christian Körnig
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - Nicholas A. Kotov
- Department
of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Biointerfaces
Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Michigan
Institute for Translational Nanotechnology (MITRAN), Ypsilanti, Michigan 48198, United States
| | - Dorota Koziej
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Xing-Jie Liang
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Beibei Liu
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Sijin Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology,
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085 China
| | - Yang Liu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ziyao Liu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Luis M. Liz-Marzán
- Center
for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014 Donostia San Sebastián, Spain
- Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
- Centro de Investigación Biomédica
en Red de Bioingeniería,
Biomateriales y Nanomedicina (CIBER-BBN), Paseo de Miramon 182, 20014 Donostia-San Sebastián, Spain
| | - Xiaowei Ma
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Andres Machicote
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Wolfgang Maison
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Adrian P. Mancuso
- European XFEL, 22869 Schenefeld, Germany
- Department of Chemistry and Physics, La
Trobe Institute for Molecular
Science, La Trobe University, Melbourne 3086, Victoria, Australia
| | - Saad Megahed
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Bert Nickel
- Sektion Physik, Ludwig Maximilians Universität
München, 80539 München, Germany
| | - Ferdinand Otto
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Cristina Palencia
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | | | - Arwen Pearson
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Oula Peñate-Medina
- Section
Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Clinic Schleswig-Holstein and Christian-Albrechts-University
Kiel, 24105 Kiel, Germany
| | - Bing Qi
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Joachim Rädler
- Sektion Physik, Ludwig Maximilians Universität
München, 80539 München, Germany
| | - Joseph J. Richardson
- ARC
Centre of Excellence in Convergent Bio-Nano Science and Technology
and the Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Axel Rosenhahn
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Kai Rothkamm
- Department
of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Michael Rübhausen
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | | | - Raymond E. Schaak
- Department of Chemistry, Department of Chemical Engineering,
and
Materials Research Institute, The Pennsylvania
State University, University Park, Pensylvania 16802, United States
| | - Heinz-Peter Schlemmer
- Department of Radiology, German Cancer
Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Marius Schmidt
- Department of Physics, University
of Wisconsin-Milwaukee, 3135 N. Maryland Avenue, Milwaukee, Wisconsin 53211, United States
| | - Oliver Schmutzler
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | | | - Florian Schulz
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - A. K. Sood
- Department of Physics, Indian Institute
of Science, Bangalore 560012, India
| | - Kathryn M. Spiers
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Theresa Staufer
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Universität
Hamburg and Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - Dominik M. Stemer
- California NanoSystems Institute, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Andreas Stierle
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Xing Sun
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- Molecular Science and Biomedicine Laboratory (MBL) State
Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry
and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Gohar Tsakanova
- Institute of Molecular Biology of National
Academy of Sciences of
Republic of Armenia, 7 Hasratyan str., 0014 Yerevan, Armenia
- CANDLE Synchrotron Research Institute, 31 Acharyan str., 0040 Yerevan, Armenia
| | - Paul S. Weiss
- California NanoSystems Institute, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Department of Bioengineering, University
of California, Los Angeles, Los Angeles, California 90095, United States
| | - Horst Weller
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- CAN, Fraunhofer Institut, 20146 Hamburg, Germany
| | - Fabian Westermeier
- Deutsches
Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Ming Xu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology,
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085 China
| | - Huijie Yan
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Yuan Zeng
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ying Zhao
- Karolinska University Hospital, Huddinge, and Karolinska
Institutet, 17177 Stockholm, Sweden
| | - Yuliang Zhao
- National
Center for Nanoscience and Technology (NCNST), 100190 Beijing China
| | - Dingcheng Zhu
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
| | - Ying Zhu
- Bioimaging Center, Shanghai Synchrotron Radiation Facility,
Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
- Division of Physical Biology, CAS Key Laboratory
of Interfacial
Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Wolfgang J. Parak
- Center
for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014 Donostia San Sebastián, Spain
- Mathematics,
Informatics, and Natural Sciences (MIN) Faculty, University of Hamburg, 20354 Hamburg, Germany
- School
of Chemistry and Chemical Engineering, Frontiers Science Center for
Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
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13
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Functional lung imaging with synchrotron radiation: Methods and preclinical applications. Phys Med 2020; 79:22-35. [PMID: 33070047 DOI: 10.1016/j.ejmp.2020.10.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/30/2020] [Accepted: 10/03/2020] [Indexed: 01/05/2023] Open
Abstract
Many lung disease processes are characterized by structural and functional heterogeneity that is not directly appreciable with traditional physiological measurements. Experimental methods and lung function modeling to study regional lung function are crucial for better understanding of disease mechanisms and for targeting treatment. Synchrotron radiation offers useful properties to this end: coherence, utilized in phase-contrast imaging, and high flux and a wide energy spectrum which allow the selection of very narrow energy bands of radiation, thus allowing imaging at very specific energies. K-edge subtraction imaging (KES) has thus been developed at synchrotrons for both human and small animal imaging. The unique properties of synchrotron radiation extend X-ray computed tomography (CT) capabilities to quantitatively assess lung morphology, and also to map regional lung ventilation, perfusion, inflammation and biomechanical properties, with microscopic spatial resolution. Four-dimensional imaging, allows the investigation of the dynamics of regional lung functional parameters simultaneously with structural deformation of the lung as a function of time. This review summarizes synchrotron radiation imaging methods and overviews examples of its application in the study of disease mechanisms in preclinical animal models, as well as the potential for clinical translation both through the knowledge gained using these techniques and transfer of imaging technology to laboratory X-ray sources.
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14
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Günther B, Gradl R, Jud C, Eggl E, Huang J, Kulpe S, Achterhold K, Gleich B, Dierolf M, Pfeiffer F. The versatile X-ray beamline of the Munich Compact Light Source: design, instrumentation and applications. JOURNAL OF SYNCHROTRON RADIATION 2020; 27:1395-1414. [PMID: 32876618 PMCID: PMC7467334 DOI: 10.1107/s1600577520008309] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 06/22/2020] [Indexed: 05/08/2023]
Abstract
Inverse Compton scattering provides means to generate low-divergence partially coherent quasi-monochromatic, i.e. synchrotron-like, X-ray radiation on a laboratory scale. This enables the transfer of synchrotron techniques into university or industrial environments. Here, the Munich Compact Light Source is presented, which is such a compact synchrotron radiation facility based on an inverse Compton X-ray source (ICS). The recent improvements of the ICS are reported first and then the various experimental techniques which are most suited to the ICS installed at the Technical University of Munich are reviewed. For the latter, a multipurpose X-ray application beamline with two end-stations was designed. The beamline's design and geometry are presented in detail including the different set-ups as well as the available detector options. Application examples of the classes of experiments that can be performed are summarized afterwards. Among them are dynamic in vivo respiratory imaging, propagation-based phase-contrast imaging, grating-based phase-contrast imaging, X-ray microtomography, K-edge subtraction imaging and X-ray spectroscopy. Finally, plans to upgrade the beamline in order to enhance its capabilities are discussed.
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Affiliation(s)
- Benedikt Günther
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Regine Gradl
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Christoph Jud
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Elena Eggl
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Juanjuan Huang
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Stephanie Kulpe
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Klaus Achterhold
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Bernhard Gleich
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Martin Dierolf
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
| | - Franz Pfeiffer
- Department of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany
- Munich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany
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15
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Eckermann M, Frohn J, Reichardt M, Osterhoff M, Sprung M, Westermeier F, Tzankov A, Werlein C, Kühnel M, Jonigk D, Salditt T. 3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography. eLife 2020; 9:e60408. [PMID: 32815517 PMCID: PMC7473770 DOI: 10.7554/elife.60408] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 08/17/2020] [Indexed: 01/25/2023] Open
Abstract
We present a three-dimensional (3D) approach for virtual histology and histopathology based on multi-scale phase contrast x-ray tomography, and use this to investigate the parenchymal architecture of unstained lung tissue from patients who succumbed to Covid-19. Based on this first proof-of-concept study, we propose multi-scale phase contrast x-ray tomography as a tool to unravel the pathophysiology of Covid-19, extending conventional histology by a third dimension and allowing for full quantification of tissue remodeling. By combining parallel and cone beam geometry, autopsy samples with a maximum cross section of 8 mm are scanned and reconstructed at a resolution and image quality, which allows for the segmentation of individual cells. Using the zoom capability of the cone beam geometry, regions-of-interest are reconstructed with a minimum voxel size of 167 nm. We exemplify the capability of this approach by 3D visualization of diffuse alveolar damage (DAD) with its prominent hyaline membrane formation, by mapping the 3D distribution and density of lymphocytes infiltrating the tissue, and by providing histograms of characteristic distances from tissue interior to the closest air compartment.
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Affiliation(s)
- Marina Eckermann
- Institut für Röntgenphysik, Georg-August-UniversitätGöttingenGermany
- Cluster of Excellence 'Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells' (MBExC), University of GöttingenGöttingenGermany
| | - Jasper Frohn
- Institut für Röntgenphysik, Georg-August-UniversitätGöttingenGermany
| | - Marius Reichardt
- Institut für Röntgenphysik, Georg-August-UniversitätGöttingenGermany
| | - Markus Osterhoff
- Institut für Röntgenphysik, Georg-August-UniversitätGöttingenGermany
| | | | | | - Alexandar Tzankov
- Institut für Medizinische Genetik und Pathologie, Universitätsspital BaselBaselSwitzerland
| | - Christopher Werlein
- Medizinische Hochschule Hannover (MHH)HannoverGermany
- Deutsches Zentrum für Lungenforschung (DZL)Hannover (BREATH)Germany
| | - Mark Kühnel
- Medizinische Hochschule Hannover (MHH)HannoverGermany
- Deutsches Zentrum für Lungenforschung (DZL)Hannover (BREATH)Germany
| | - Danny Jonigk
- Medizinische Hochschule Hannover (MHH)HannoverGermany
- Deutsches Zentrum für Lungenforschung (DZL)Hannover (BREATH)Germany
| | - Tim Salditt
- Institut für Röntgenphysik, Georg-August-UniversitätGöttingenGermany
- Cluster of Excellence 'Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells' (MBExC), University of GöttingenGöttingenGermany
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16
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Gardner M, Parsons D, Morgan K, McCarron A, Cmielewski P, Gradl R, Donnelley M. Towards automated in vivo tracheal mucociliary transport measurement: Detecting and tracking particle movement in synchrotron phase-contrast x-ray images. Phys Med Biol 2020; 65:145012. [PMID: 32045895 DOI: 10.1088/1361-6560/ab7509] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Accurate in vivo quantification of airway mucociliary transport (MCT) in animal models is important for understanding diseases such as cystic fibrosis, as well as for developing therapies. A non-invasive method of measuring MCT behaviour, based on tracking the position of micron sized particles using synchrotron x-ray imaging, has previously been described. In previous studies, the location (and path) of each particle was tracked manually, which is a time consuming and subjective process. Here we describe particle tracking methods that were developed to reduce the need for manual particle tracking. The MCT marker particles were detected in the synchrotron x-ray images using cascade classifiers. The particle trajectories along the airway surface were generated by linking the detected locations between frames using a modified particle linking algorithm. The developed methods were compared with the manual tracking method on simulated x-ray images, as well as on in vivo images of rat airways acquired at the SPring-8 Synchrotron. The results for the simulated and in vivo images showed that the semi-automatic algorithm reduced the time required for particle tracking when compared with the manual tracking method, and was able to detect MCT marker particle locations and measure particle speeds more accurately than the manual tracking method. Future work will examine the modification of methods to improve particle detection and particle linking algorithms to allow for more accurate fully-automatic particle tracking.
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Affiliation(s)
- Mark Gardner
- Robinson Research Institute and Adelaide Medical School, University of Adelaide, Adelaide, Australia. Respiratory and Sleep Medicine, Women's and Children's Hospital, 72 King William Road, SA 5006 North Adelaide, Australia
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Smith BJ, Roy GS, Cleveland A, Mattson C, Okamura K, Charlebois CM, Hamlington KL, Novotny MV, Knudsen L, Ochs M, Hite RD, Bates JHT. Three Alveolar Phenotypes Govern Lung Function in Murine Ventilator-Induced Lung Injury. Front Physiol 2020; 11:660. [PMID: 32695013 PMCID: PMC7338482 DOI: 10.3389/fphys.2020.00660] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 05/25/2020] [Indexed: 01/03/2023] Open
Abstract
Mechanical ventilation is an essential lifesaving therapy in acute respiratory distress syndrome (ARDS) that may cause ventilator-induced lung injury (VILI) through a positive feedback between altered alveolar mechanics, edema, surfactant inactivation, and injury. Although the biophysical forces that cause VILI are well documented, a knowledge gap remains in the quantitative link between altered parenchymal structure (namely alveolar derecruitment and flooding), pulmonary function, and VILI. This information is essential to developing diagnostic criteria and ventilation strategies to reduce VILI and improve ARDS survival. To address this unmet need, we mechanically ventilated mice to cause VILI. Lung structure was measured at three air inflation pressures using design-based stereology, and the mechanical function of the pulmonary system was measured with the forced oscillation technique. Assessment of the pulmonary surfactant included total surfactant, distribution of phospholipid aggregates, and surface tension lowering activity. VILI-induced changes in the surfactant included reduced surface tension lowering activity in the typically functional fraction of large phospholipid aggregates and a significant increase in the pool of surface-inactive small phospholipid aggregates. The dominant alterations in lung structure at low airway pressures were alveolar collapse and flooding. At higher airway pressures, alveolar collapse was mitigated and the flooded alveoli remained filled with proteinaceous edema. The loss of ventilated alveoli resulted in decreased alveolar gas volume and gas-exchange surface area. These data characterize three alveolar phenotypes in murine VILI: flooded and non-recruitable alveoli, unstable alveoli that derecruit at airway pressures below 5 cmH2O, and alveoli with relatively normal structure and function. The fraction of alveoli with each phenotype is reflected in the proportional changes in pulmonary system elastance at positive end expiratory pressures of 0, 3, and 6 cmH2O.
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Affiliation(s)
- Bradford J Smith
- Department of Bioengineering, College of Engineering, Design & Computing, University of Colorado Denver | Anschutz Medical Campus, Aurora, CO, United States
- Department of Pediatric Pulmonary and Sleep Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Gregory S Roy
- Vermont Lung Center, Larner College of Medicine, The University of Vermont, Burlington, VT, United States
| | - Alyx Cleveland
- Vermont Lung Center, Larner College of Medicine, The University of Vermont, Burlington, VT, United States
| | - Courtney Mattson
- Department of Bioengineering, College of Engineering, Design & Computing, University of Colorado Denver | Anschutz Medical Campus, Aurora, CO, United States
| | - Kayo Okamura
- Department of Bioengineering, College of Engineering, Design & Computing, University of Colorado Denver | Anschutz Medical Campus, Aurora, CO, United States
| | - Chantel M Charlebois
- Vermont Lung Center, Larner College of Medicine, The University of Vermont, Burlington, VT, United States
| | - Katharine L Hamlington
- Department of Pediatric Pulmonary and Sleep Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Michael V Novotny
- Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Lars Knudsen
- Institute of Functional and Applied Anatomy, Hannover Medical School, Hanover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hanover, Germany
| | - Matthias Ochs
- Institute of Functional Anatomy, Charité Medical University of Berlin, Berlin, Germany
| | - R Duncan Hite
- Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, United States
| | - Jason H T Bates
- Vermont Lung Center, Larner College of Medicine, The University of Vermont, Burlington, VT, United States
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