1
|
Väänänen V, Christensen MM, Suhonen H, Jernvall J. Gene expression detection in developing mouse tissue using in situ hybridization and µCT imaging. Proc Natl Acad Sci U S A 2023; 120:e2301876120. [PMID: 37279266 PMCID: PMC10268296 DOI: 10.1073/pnas.2301876120] [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: 02/17/2023] [Accepted: 05/07/2023] [Indexed: 06/08/2023] Open
Abstract
High resolution and noninvasiveness have made soft-tissue X-ray microtomography (µCT) a widely applicable three-dimensional (3D) imaging method in studies of morphology and development. However, scarcity of molecular probes to visualize gene activity with µCT has remained a challenge. Here, we apply horseradish peroxidase-assisted reduction of silver and catalytic gold enhancement of the silver deposit to in situ hybridization in order to detect gene expression in developing tissues with µCT (here called GECT, gene expression CT). We show that GECT detects expression patterns of collagen type II alpha 1 and sonic hedgehog in developing mouse tissues comparably with an alkaline phosphatase-based detection method. After detection, expression patterns are visualized with laboratory µCT, demonstrating that GECT is compatible with varying levels of gene expression and varying sizes of expression regions. Additionally, we show that the method is compatible with prior phosphotungstic acid staining, a conventional contrast staining approach in µCT imaging of soft tissues. Overall, GECT is a method that can be integrated with existing laboratory routines to obtain spatially accurate 3D detection of gene expression.
Collapse
Affiliation(s)
- Vilma Väänänen
- Institute of Biotechnology, University of Helsinki, HelsinkiFI-00014, Finland
| | - Mona M. Christensen
- Institute of Biotechnology, University of Helsinki, HelsinkiFI-00014, Finland
| | - Heikki Suhonen
- Department of Physics, University of Helsinki, HelsinkiFI-00014, Finland
| | - Jukka Jernvall
- Institute of Biotechnology, University of Helsinki, HelsinkiFI-00014, Finland
- Department of Geosciences and Geography, University of Helsinki, HelsinkiFI-00014, Finland
| |
Collapse
|
2
|
X-ray CT in Phase Contrast Enhancement Geometry of Alginate Microbeads in a Whole-Animal Model. Ann Biomed Eng 2020; 48:1016-1024. [DOI: 10.1007/s10439-019-02291-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 05/15/2019] [Indexed: 10/26/2022]
|
3
|
Dias CSB, Neto DPA, Baraldi GL, Fonseca MDC. Comparative analysis of sample preparation protocols of soft biological tissues for morphometric studies using synchrotron-based X-ray microtomography. JOURNAL OF SYNCHROTRON RADIATION 2019; 26:2013-2023. [PMID: 31721746 DOI: 10.1107/s1600577519011299] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 08/13/2019] [Indexed: 06/10/2023]
Abstract
The spread of microtomography as a tool for visualization of soft tissues has had a significant impact on a better understanding of complex biological systems. This technique allows a detailed three-dimensional quantitative view of the specimen to be obtained, correlating its morphological organization with its function, providing valuable insights on the functionality of the tissue. Regularly overlooked, but of great importance, proper sample mounting and preparation are fundamental for achieving the highest possible image quality even for the high-resolution imaging systems currently under development. Here, a quantitative analysis compares some of the most common sample-mounting strategies used for synchrotron-based X-ray microtomography of soft tissues: alcoholic-immersion, paraffin-embedding and critical-point drying. These three distinct sample-mounting strategies were performed on the same specimen in order to investigate their impact on sample morphology regardless of individual sample variation. In that sense, the alcoholic-immersion strategy, although causing less shrinkage to the tissue, proved to be the most unsuitable approach for a high-throughput high-resolution imaging experiment due to sample drifting. Also, critical-point drying may present some interesting advantages regarding image quality but is also incompatible with a high-throughput experiment. Lastly, paraffin-embedding is shown to be the most suitable strategy for current soft tissue microtomography experiments. Such detailed analysis of biological sample-mounting strategies for synchrotron-based X-ray microtomography are expected to offer valuable insights on the best approach for using this technique for 3D imaging of soft tissues and following morphometric analysis.
Collapse
Affiliation(s)
- Carlos Sato Baraldi Dias
- Brazilian Synchrotron Light National Laboratory, Brazilian Center for Research in Energy and Materials (CNPEM), Giuseppe Maximo Scolfaro 10000, Campinas, São Paulo 13083-970, Brazil
| | - Dionísio Pedro Amorim Neto
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials (CNPEM), Giuseppe Maximo Scolfaro 10000, Campinas, São Paulo 13083-970, Brazil
| | - Giovanni Lenzi Baraldi
- Brazilian Synchrotron Light National Laboratory, Brazilian Center for Research in Energy and Materials (CNPEM), Giuseppe Maximo Scolfaro 10000, Campinas, São Paulo 13083-970, Brazil
| | - Matheus de Castro Fonseca
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials (CNPEM), Giuseppe Maximo Scolfaro 10000, Campinas, São Paulo 13083-970, Brazil
| |
Collapse
|
4
|
Shi S, Zhang H, Yin X, Wang Z, Tang B, Luo Y, Ding H, Chen Z, Cao Y, Wang T, Xiao B, Zhang M. 3D digital anatomic angioarchitecture of the mouse brain using synchrotron-radiation-based propagation phase-contrast imaging. JOURNAL OF SYNCHROTRON RADIATION 2019; 26:1742-1750. [PMID: 31490166 DOI: 10.1107/s160057751900674x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 05/10/2019] [Indexed: 06/10/2023]
Abstract
Thorough investigation of the three-dimensional (3D) configuration of the vasculature of mouse brain remains technologically difficult because of its complex anatomical structure. In this study, a systematic analysis is developed to visualize the 3D angioarchitecture of mouse brain at ultrahigh resolution using synchrotron-radiation-based propagation phase-contrast imaging. This method provides detailed restoration of the intricate brain microvascular network in a precise 3D manner. In addition to depicting the delicate 3D arrangements of the vascular network, 3D virtual micro-endoscopy is also innovatively performed to visualize randomly a selected vessel within the brain for both external 3D micro-imaging and endoscopic visualization of any targeted microvessels, which improves the understanding of the intrinsic properties of the mouse brain angioarchitecture. Based on these data, hierarchical visualization has been established and a systematic assessment on the 3D configuration of the mouse brain microvascular network has been achieved at high resolution which will aid in advancing the understanding of the role of vasculature in the perspective of structure and function in depth. This holds great promise for wider application in various models of neurovascular diseases.
Collapse
Affiliation(s)
- Shupeng Shi
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Haoran Zhang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Xianzhen Yin
- Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, People's Republic of China
| | - Zhuolu Wang
- Department of Breast Surgery, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan 410008, People's Republic of China
| | - Bin Tang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Yuebei Luo
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Hui Ding
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Zhuohui Chen
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Yong Cao
- Department of Spine Surgery, Xiangya Hospital, Central South University, Changsha 410008, People's Republic of China
| | - Tiantian Wang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Mengqi Zhang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| |
Collapse
|
5
|
Zhao Y, Ji D, Chen Y, Jian J, Zhao X, Zhao Q, Lv W, Xin X, Yang T, Hu C. A new in-line X-ray phase-contrast computed tomography reconstruction algorithm based on adaptive-weighted anisotropic TpV regularization for insufficient data. JOURNAL OF SYNCHROTRON RADIATION 2019; 26:1330-1342. [PMID: 31274462 DOI: 10.1107/s1600577519005095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 04/13/2019] [Indexed: 06/09/2023]
Abstract
In-line X-ray phase-contrast computed tomography (IL-PCCT) is a valuable tool for revealing the internal detailed structures in weakly absorbing objects (e.g. biological soft tissues), and has a great potential to become clinically applicable. However, the long scanning time for IL-PCCT will result in a high radiation dose to biological samples, and thus impede the wider use of IL-PCCT in clinical and biomedical imaging. To alleviate this problem, a new iterative CT reconstruction algorithm is presented that aims to decrease the radiation dose by reducing the projection views, while maintaining the high quality of reconstructed images. The proposed algorithm combines the adaptive-weighted anisotropic total p-variation (AwaTpV, 0 < p < 1) regularization technique with projection onto convex sets (POCS) strategy. Noteworthy, the AwaTpV regularization term not only contains the horizontal and vertical image gradients but also adds the diagonal image gradients in order to enforce the directional continuity in the gradient domain. To evaluate the effectiveness and ability of the proposed algorithm, experiments with a numerical phantom and synchrotron IL-PCCT were performed, respectively. The results demonstrated that the proposed algorithm had the ability to significantly reduce the artefacts caused by insufficient data and effectively preserved the edge details under noise-free and noisy conditions, and thus could be used as an effective approach to decrease the radiation dose for IL-PCCT.
Collapse
Affiliation(s)
- Yuqing Zhao
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Dongjiang Ji
- The School of Science, Tianjin University of Technology and Education, Tianjin 300222, People's Republic of China
| | - Yingpin Chen
- School of Physics and Information Engineering, Minnan Normal University, 363000 Fujian, People's Republic of China
| | - Jianbo Jian
- Radiation Oncology Department, Tianjin Medical University General Hospital, Tianjin 300070, People's Republic of China
| | - Xinyan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, 100050 Beijing, People's Republic of China
| | - Qi Zhao
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Wenjuan Lv
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Xiaohong Xin
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Tingting Yang
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Chunhong Hu
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| |
Collapse
|
6
|
Zhao Y, Sun M, Ji D, Cong C, Lv W, Zhao Q, Qin L, Jian J, Chen X, Hu C. An iterative image reconstruction algorithm combined with forward and backward diffusion filtering for in-line X-ray phase-contrast computed tomography. JOURNAL OF SYNCHROTRON RADIATION 2018; 25:1450-1459. [PMID: 30179185 DOI: 10.1107/s1600577518009219] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 06/26/2018] [Indexed: 05/23/2023]
Abstract
In-line X-ray phase-contrast computed tomography (IL-PCCT) can reveal fine inner structures for low-Z materials (e.g. biological soft tissues), and shows high potential to become clinically applicable. Typically, IL-PCCT utilizes filtered back-projection (FBP) as the standard reconstruction algorithm. However, the FBP algorithm requires a large amount of projection data, and subsequently a large radiation dose is needed to reconstruct a high-quality image, which hampers its clinical application in IL-PCCT. In this study, an iterative reconstruction algorithm for IL-PCCT was proposed by combining the simultaneous algebraic reconstruction technique (SART) with eight-neighbour forward and backward (FAB8) diffusion filtering, and the reconstruction was performed using the Shepp-Logan phantom simulation and a real synchrotron IL-PCCT experiment. The results showed that the proposed algorithm was able to produce high-quality computed tomography images from few-view projections while improving the convergence rate of the computed tomography reconstruction, indicating that the proposed algorithm is an effective method of dose reduction for IL-PCCT.
Collapse
Affiliation(s)
- Yuqing Zhao
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Mengyu Sun
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Dongjiang Ji
- The School of Science, Tianjin University of Technology and Education, Tianjin 300222, People's Republic of China
| | - Changhong Cong
- The Dental Hospital of Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Wenjuan Lv
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Qi Zhao
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Lili Qin
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Jianbo Jian
- Radiation Oncology Department, Tianjin Medical University General Hospital, Tianjin 300070, People's Republic of China
| | - Xiaodong Chen
- Key Laboratory of Opto-electronic Information Technology, Ministry of Education (Tianjin University), Tianjin 300072, People's Republic of China
| | - Chunhong Hu
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| |
Collapse
|
7
|
Zhou Z, Zhang L, Guo B, Ma W, Zhang L, Li J, Zhao H, Jiang J, Gao F. Improved phase-attenuation duality method with space-frequency joint domain iterative regularization. Med Phys 2018; 45:3681-3696. [PMID: 29957878 DOI: 10.1002/mp.13067] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 06/17/2018] [Accepted: 06/19/2018] [Indexed: 12/25/2022] Open
Abstract
PURPOSE A common problem of in-line phase contrast imaging systems based on laboratory source and detector is the negative effects of finite source size, limited spatial resolution, and system noise. These negative effects swamp the fine phase contrast fringes and impede the precise retrieval of phase maps. This study aims to develop a novel phase retrieval method to restore phase information that is lost due to an imperfect system. METHODS An improved phase-attenuation duality (PAD) method based on space-frequency joint domain iterative regularization (JDIR) is proposed to overcome the problems of the analytical PAD method and the spatial-domain iterative regularization (SDIR) based PAD method. These problems include noise robustness and optical transfer function compensation. The proposed method was compared with the two former PAD methods through computer simulations and experiments for validation. RESULTS Results reveal that JDIR method outperforms the other two methods in terms of improving the visibility of structures in the retrieved phase maps. Among all the phase retrieval algorithms, the TV-norm-based JDIR method performed the best in considering the contrast and noise performance. CONCLUSIONS This paper provides a new method to investigate quantitative phase-contrast imaging when considering the negative effects of an imperfect system.
Collapse
Affiliation(s)
- Zhongxing Zhou
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin, 300072, China
| | - Lin Zhang
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
| | - Baikuan Guo
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
| | - Wenjuan Ma
- Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300072, China
| | - Limin Zhang
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin, 300072, China
| | - Jiao Li
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin, 300072, China
| | - Huijuan Zhao
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin, 300072, China
| | - Jingying Jiang
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China
| | - Feng Gao
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin, 300072, China
| |
Collapse
|
8
|
Disney CM, Lee PD, Hoyland JA, Sherratt MJ, Bay BK. A review of techniques for visualising soft tissue microstructure deformation and quantifying strain Ex Vivo. J Microsc 2018; 272:165-179. [PMID: 29655273 DOI: 10.1111/jmi.12701] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/08/2018] [Accepted: 03/16/2018] [Indexed: 12/16/2022]
Abstract
Many biological tissues have a complex hierarchical structure allowing them to function under demanding physiological loading conditions. Structural changes caused by ageing or disease can lead to loss of mechanical function. Therefore, it is necessary to characterise tissue structure to understand normal tissue function and the progression of disease. Ideally intact native tissues should be imaged in 3D and under physiological loading conditions. The current published in situ imaging methodologies demonstrate a compromise between imaging limitations and maintaining the samples native mechanical function. This review gives an overview of in situ imaging techniques used to visualise microstructural deformation of soft tissue, including three case studies of different tissues (tendon, intervertebral disc and artery). Some of the imaging techniques restricted analysis to observational mechanics or discrete strain measurement from invasive markers. Full-field local surface strain measurement has been achieved using digital image correlation. Volumetric strain fields have successfully been quantified from in situ X-ray microtomography (micro-CT) studies of bone using digital volume correlation but not in soft tissue due to low X-ray transmission contrast. With the latest developments in micro-CT showing in-line phase contrast capability to resolve native soft tissue microstructure, there is potential for future soft tissue mechanics research where 3D local strain can be quantified. These methods will provide information on the local 3D micromechanical environment experienced by cells in healthy, aged and diseased tissues. It is hoped that future applications of in situ imaging techniques will impact positively on the design and testing of potential tissue replacements or regenerative therapies. LAY DESCRIPTION: The soft tissues in our bodies, such as tendons, intervertebral discs and arteries, have evolved to have complicated structures which deform and bear load during normal function. Small changes in these structures can occur with age and disease which then leads to loss of function. Therefore, it is important to image tissue microstructure in 3D and under functional conditions. This paper gives an overview of imaging techniques used to record the deformation of soft tissue microstructures. Commonly there are compromises between obtaining the best imaging result and retaining the samples native structure and function. For example, invasive markers and dissecting samples damages the tissues natural structure, and staining or clearing (making the tissue more transparent) can distort tissue structure. Structural deformation has been quantified from 2D imaging techniques (digital image correlation) to create surface strain maps which help identify local tissue mechanics. When extended to 3D (digital volume correlation), deformation measurement has been limited to bone samples using X-ray micro-CT. Recently it has been possible to image the 3D structure of soft tissue using X-ray micro-CT meaning that there is potential for internal soft tissue mechanics to be mapped in 3D. Future application of micro-CT and digital volume correlation will be important for soft tissue mechanics studies particularly to understand normal function, progression of disease and in the design of tissue replacements.
Collapse
Affiliation(s)
- C M Disney
- Centre for Doctoral Training in Regenerative Medicine, University of Manchester, Manchester, U.K.,Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, U.K
| | - P D Lee
- School of Materials, University of Manchester, Manchester, U.K
| | - J A Hoyland
- Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, U.K.,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, U.K
| | - M J Sherratt
- Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, U.K
| | - B K Bay
- School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, Corvallis, Oregon, U.S.A
| |
Collapse
|
9
|
Chaurand P, Liu W, Borschneck D, Levard C, Auffan M, Paul E, Collin B, Kieffer I, Lanone S, Rose J, Perrin J. Multi-scale X-ray computed tomography to detect and localize metal-based nanomaterials in lung tissues of in vivo exposed mice. Sci Rep 2018. [PMID: 29535369 PMCID: PMC5849692 DOI: 10.1038/s41598-018-21862-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
In this methodological study, we demonstrated the relevance of 3D imaging performed at various scales for the ex vivo detection and location of cerium oxide nanomaterials (CeO2-NMs) in mouse lung. X-ray micro-computed tomography (micro-CT) with a voxel size from 14 µm to 1 µm (micro-CT) was combined with X-ray nano-computed tomography with a voxel size of 63 nm (nano-CT). An optimized protocol was proposed to facilitate the sample preparation, to minimize the experimental artifacts and to optimize the contrast of soft tissues exposed to metal-based nanomaterials (NMs). 3D imaging of the NMs biodistribution in lung tissues was consolidated by combining a vast variety of techniques in a correlative approach: histological observations, 2D chemical mapping and speciation analysis were performed for an unambiguous detection of NMs. This original methodological approach was developed following a worst-case scenario of exposure, i.e. high dose of exposure with administration via intra-tracheal instillation. Results highlighted both (i) the non-uniform distribution of CeO2-NMs within the entire lung lobe (using large field-of-view micro-CT) and (ii) the detection of CeO2-NMs down to the individual cell scale, e.g. macrophage scale (using nano-CT with a voxel size of 63 nm).
Collapse
Affiliation(s)
- Perrine Chaurand
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France. .,International Consortium for the Environmental Implications of Nanotechnology iCEINT, CNRS-Duke University, Aix en Provence, France.
| | - Wei Liu
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France.,International Consortium for the Environmental Implications of Nanotechnology iCEINT, CNRS-Duke University, Aix en Provence, France
| | - Daniel Borschneck
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France.,International Consortium for the Environmental Implications of Nanotechnology iCEINT, CNRS-Duke University, Aix en Provence, France
| | - Clément Levard
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France.,International Consortium for the Environmental Implications of Nanotechnology iCEINT, CNRS-Duke University, Aix en Provence, France
| | - Mélanie Auffan
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France.,International Consortium for the Environmental Implications of Nanotechnology iCEINT, CNRS-Duke University, Aix en Provence, France
| | - Emmanuel Paul
- INSERM, Equipe 04, U955, Creteil, France.,Univ Paris Est Creteil, IMRB, Fac Med, DHU A TVB, Creteil, France
| | - Blanche Collin
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France.,International Consortium for the Environmental Implications of Nanotechnology iCEINT, CNRS-Duke University, Aix en Provence, France
| | - Isabelle Kieffer
- OSUG-FAME, UMS 832 CNRS-Univ. Grenoble Alpes, F-38041, Grenoble, France
| | - Sophie Lanone
- INSERM, Equipe 04, U955, Creteil, France.,Univ Paris Est Creteil, IMRB, Fac Med, DHU A TVB, Creteil, France
| | - Jérôme Rose
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France.,International Consortium for the Environmental Implications of Nanotechnology iCEINT, CNRS-Duke University, Aix en Provence, France
| | - Jeanne Perrin
- Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France.,Univ Avignon, Inst Mediterraneen Biodiversite & Ecol Marine & C, Aix Marseille Univ, CNRS, IRD, Marseille, France.,AP HM La Conception, CECOS, Lab Reprod Biol, Dept Gynecol Obstet & Reprod Med, Pole Femmes Parents Enfants, Marseille, France
| |
Collapse
|
10
|
Krings M, Müller H, Heneka MJ, Rödder D. Modern morphological methods for tadpole studies. A comparison of micro-CT, and clearing and staining protocols modified for frog larvae. Biotech Histochem 2017; 92:595-605. [PMID: 29210297 DOI: 10.1080/10520295.2017.1369162] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
Micro-computed tomography (micro-CT) scanning and three-dimensional reconstruction have revolutionized morphological studies. Whereas species descriptions and comparative studies formerly were based on external appearance and dissection, we now can visualize muscles, skeleton and viscera in intact animals. In most cases, visualization of internal structures depends on appropriate staining methods. Staining with iodine, phosphotungstic acid (PTA) and osmium tetroxide are established methods, but some problems remain. Agents like osmium tetroxide are toxic and the contrast of cartilage generally is unsatisfactory with osmium tetroxide, iodine or PTA. Furthermore, staining results vary for different animals and different developmental stages. We investigated critical point drying as an inexpensive, nontoxic and rapid alternative to staining for frog tadpoles. Critical point drying enables visualization of cartilage and its differentiation from muscle tissue. Shrinkage generally is acceptable. We also present a protocol for clearing and staining frog tadpoles.
Collapse
Affiliation(s)
- M Krings
- a Department of Herpetology , Zoological Research Museum Alexander Koenig , Bonn , Germany
| | - H Müller
- b Institute of Systematic Zoology and Evolutionary Biology with Phyletic Museum, Friedrich-Schiller-University , Jena , Germany
| | - M J Heneka
- c RJL Micro & Analytic , Karlsdorf-Neuthard , Germany
| | - D Rödder
- a Department of Herpetology , Zoological Research Museum Alexander Koenig , Bonn , Germany
| |
Collapse
|
11
|
Xu Q, Yang D, Tan J, Sawatzky A, Anastasio MA. Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction. Med Phys 2016; 43:1849. [PMID: 27036582 DOI: 10.1118/1.4942812] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE The development of iterative image reconstruction algorithms for cone-beam computed tomography (CBCT) remains an active and important research area. Even with hardware acceleration, the overwhelming majority of the available 3D iterative algorithms that implement nonsmooth regularizers remain computationally burdensome and have not been translated for routine use in time-sensitive applications such as image-guided radiation therapy (IGRT). In this work, two variants of the fast iterative shrinkage thresholding algorithm (FISTA) are proposed and investigated for accelerated iterative image reconstruction in CBCT. METHODS Algorithm acceleration was achieved by replacing the original gradient-descent step in the FISTAs by a subproblem that is solved by use of the ordered subset simultaneous algebraic reconstruction technique (OS-SART). Due to the preconditioning matrix adopted in the OS-SART method, two new weighted proximal problems were introduced and corresponding fast gradient projection-type algorithms were developed for solving them. We also provided efficient numerical implementations of the proposed algorithms that exploit the massive data parallelism of multiple graphics processing units. RESULTS The improved rates of convergence of the proposed algorithms were quantified in computer-simulation studies and by use of clinical projection data corresponding to an IGRT study. The accelerated FISTAs were shown to possess dramatically improved convergence properties as compared to the standard FISTAs. For example, the number of iterations to achieve a specified reconstruction error could be reduced by an order of magnitude. Volumetric images reconstructed from clinical data were produced in under 4 min. CONCLUSIONS The FISTA achieves a quadratic convergence rate and can therefore potentially reduce the number of iterations required to produce an image of a specified image quality as compared to first-order methods. We have proposed and investigated accelerated FISTAs for use with two nonsmooth penalty functions that will lead to further reductions in image reconstruction times while preserving image quality. Moreover, with the help of a mixed sparsity-regularization, better preservation of soft-tissue structures can be potentially obtained. The algorithms were systematically evaluated by use of computer-simulated and clinical data sets.
Collapse
Affiliation(s)
- Qiaofeng Xu
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130
| | - Deshan Yang
- Department of Radiation Oncology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri 63110
| | - Jun Tan
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, Texas 75390
| | - Alex Sawatzky
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130
| | - Mark A Anastasio
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130
| |
Collapse
|
12
|
Appel AA, Ibarra V, Somo SI, Larson JC, Garson AB, Guan H, McQuilling JP, Zhong Z, Anastasio MA, Opara EC, Brey EM. Imaging of Hydrogel Microsphere Structure and Foreign Body Response Based on Endogenous X-Ray Phase Contrast. Tissue Eng Part C Methods 2016; 22:1038-1048. [PMID: 27796159 PMCID: PMC5116683 DOI: 10.1089/ten.tec.2016.0253] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Accepted: 10/28/2016] [Indexed: 12/22/2022] Open
Abstract
Transplantation of functional islets encapsulated in stable biomaterials has the potential to cure Type I diabetes. However, the success of these materials requires the ability to quantitatively evaluate their stability. Imaging techniques that enable monitoring of biomaterial performance are critical to further development in the field. X-ray phase-contrast (XPC) imaging is an emerging class of X-ray techniques that have shown significant promise for imaging biomaterial and soft tissue structures. In this study, XPC imaging techniques are shown to enable three dimensional (3D) imaging and evaluation of islet volume, alginate hydrogel structure, and local soft tissue features ex vivo. Rat islets were encapsulated in sterile ultrapurified alginate systems produced using a high-throughput microfluidic system. The encapsulated islets were implanted in omentum pouches created in a rodent model of type 1 diabetes. Microbeads were imaged with XPC imaging before implantation and as whole tissue samples after explantation from the animals. XPC microcomputed tomography (μCT) was performed with systems using tube-based and synchrotron X-ray sources. Islets could be identified within alginate beads and the islet volume was quantified in the synchrotron-based μCT volumes. Omental adipose tissue could be distinguished from inflammatory regions resulting from implanted beads in harvested samples with both XPC imaging techniques. Individual beads and the local encapsulation response were observed and quantified using quantitative measurements, which showed good agreement with histology. The 3D structure of the microbeads could be characterized with XPC imaging and failed beads could also be identified. These results point to the substantial potential of XPC imaging as a tool for imaging biomaterials in small animal models and deliver a critical step toward in vivo imaging.
Collapse
Affiliation(s)
- Alyssa A. Appel
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
- Research Services, Edward Hines Jr. VA Hospital, Chicago, Illinois
| | - Veronica Ibarra
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
| | - Sami I. Somo
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
| | - Jeffery C. Larson
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
- Research Services, Edward Hines Jr. VA Hospital, Chicago, Illinois
| | - Alfred B. Garson
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Huifeng Guan
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | | | - Zhong Zhong
- National Synchrotron Light Source, Brookhaven National Laboratory, Upton, New York
| | - Mark A. Anastasio
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Emmanuel C. Opara
- Wake Forest Institute of Regenerative Medicine, Winston-Salem, North Carolina
| | - Eric M. Brey
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
- Research Services, Edward Hines Jr. VA Hospital, Chicago, Illinois
| |
Collapse
|
13
|
Mizutani R, Saiga R, Ohtsuka M, Miura H, Hoshino M, Takeuchi A, Uesugi K. Three-dimensional X-ray visualization of axonal tracts in mouse brain hemisphere. Sci Rep 2016; 6:35061. [PMID: 27725699 PMCID: PMC5057144 DOI: 10.1038/srep35061] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 09/23/2016] [Indexed: 11/09/2022] Open
Abstract
Neurons transmit active potentials through axons, which are essential for the brain to function. In this study, the axonal networks of the murine brain were visualized with X-ray tomographic microscopy, also known as X-ray microtomography or micro-CT. Murine brain samples were freeze-dried to reconstitute the intrinsic contrast of tissue constituents and subjected to X-ray visualization. A whole brain hemisphere visualized by absorption contrast illustrated three-dimensional structures including those of the striatum, corpus callosum, and anterior commissure. Axonal tracts observed in the striatum start from the basal surface of the cerebral cortex and end at various positions in the basal ganglia. The distribution of X-ray attenuation coefficients indicated that differences in water and phospholipid content between the myelin sheath and surrounding tissue constituents account for the observed contrast. A rod-shaped cutout of brain tissue was also analyzed with a phase retrieval method, wherein tissue microstructures could be resolved with up to 2.7 μm resolution. Structures of axonal networks of the striatum were reconstructed by tracing axonal tracts. Such an analysis should be able to delineate the functional relationships of the brain regions involved in the observed network.
Collapse
Affiliation(s)
- Ryuta Mizutani
- Department of Applied Biochemistry, Tokai University, Hiratsuka, Kanagawa 259-1292, Japan
| | - Rino Saiga
- Department of Applied Biochemistry, Tokai University, Hiratsuka, Kanagawa 259-1292, Japan
| | - Masato Ohtsuka
- Tokai University School of Medicine, Isehara, Kanagawa 259-1193, Japan
| | - Hiromi Miura
- Tokai University School of Medicine, Isehara, Kanagawa 259-1193, Japan
| | - Masato Hoshino
- Japan Synchrotron Radiation Research Institute (JASRI/SPring-8), Sayo, Hyogo 679-5198, Japan
| | - Akihisa Takeuchi
- Japan Synchrotron Radiation Research Institute (JASRI/SPring-8), Sayo, Hyogo 679-5198, Japan
| | - Kentaro Uesugi
- Japan Synchrotron Radiation Research Institute (JASRI/SPring-8), Sayo, Hyogo 679-5198, Japan
| |
Collapse
|
14
|
Shearer T, Bradley RS, Hidalgo-Bastida LA, Sherratt MJ, Cartmell SH. Three-dimensional visualisation of soft biological structures by X-ray computed micro-tomography. J Cell Sci 2016; 129:2483-92. [PMID: 27278017 DOI: 10.1242/jcs.179077] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Whereas the two-dimensional (2D) visualisation of biological samples is routine, three-dimensional (3D) imaging remains a time-consuming and relatively specialised pursuit. Current commonly adopted techniques for characterising the 3D structure of non-calcified tissues and biomaterials include optical and electron microscopy of serial sections and sectioned block faces, and the visualisation of intact samples by confocal microscopy or electron tomography. As an alternative to these approaches, X-ray computed micro-tomography (microCT) can both rapidly image the internal 3D structure of macroscopic volumes at sub-micron resolutions and visualise dynamic changes in living tissues at a microsecond scale. In this Commentary, we discuss the history and current capabilities of microCT. To that end, we present four case studies to illustrate the ability of microCT to visualise and quantify: (1) pressure-induced changes in the internal structure of unstained rat arteries, (2) the differential morphology of stained collagen fascicles in tendon and ligament, (3) the development of Vanessa cardui chrysalises, and (4) the distribution of cells within a tissue-engineering construct. Future developments in detector design and the use of synchrotron X-ray sources might enable real-time 3D imaging of dynamically remodelling biological samples.
Collapse
Affiliation(s)
- Tom Shearer
- School of Materials, University of Manchester, Manchester M13 9PL, UK School of Mathematics, University of Manchester, Manchester M13 9PL, UK
| | - Robert S Bradley
- Henry Moseley X-ray Imaging Facility, School of Materials, University of Manchester, Manchester M13 9PL, UK
| | | | - Michael J Sherratt
- Institute of Inflammation and Repair, University of Manchester, Manchester M13 9PL, UK
| | - Sarah H Cartmell
- School of Materials, University of Manchester, Manchester M13 9PL, UK
| |
Collapse
|
15
|
Jian J, Yang H, Zhao X, Xuan R, Zhang Y, Li D, Hu C. Visualization of microvasculature and thrombi by X-ray phase-contrast computed tomography in hepatocellular carcinoma. JOURNAL OF SYNCHROTRON RADIATION 2016; 23:600-605. [PMID: 26917149 DOI: 10.1107/s1600577516001016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Accepted: 01/18/2016] [Indexed: 06/05/2023]
Abstract
Visualization of the microvascular network and thrombi in the microvasculature is a key step to evaluating the development of tumor growth and metastasis, and influences treatment selection. X-ray phase-contrast computed tomography (PCCT) is a new imaging technique that can detect minute changes of density and reveal soft tissues discrimination at micrometer-scale resolution. In this study, six human resected hepatocellular carcinoma (HCC) tissues were investigated with PCCT. A histological stain was added to estimate the accuracy of PCCT. The results showed that the fine structures of the microvasculature (measuring 30-100 µm) and thrombi in tiny blood vessels were displayed clearly on imaging the HCC tissues by PCCT. Moreover, density distributions of the thrombi were obtained, which could be reliably used to distinguish malignant from benign thrombi in HCC. In conclusion, PCCT can clearly show the three-dimensional subtle structures of HCC that cannot be detected by conventional absorption-based computed tomography and provides a new method for the imageology of HCC.
Collapse
Affiliation(s)
- Jianbo Jian
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Hao Yang
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Xinyan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, People's Republic of China
| | - Ruijiao Xuan
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Yujie Zhang
- Department of Pathology, Tianjin Medical University General Hospital, Tianjin 300052, People's Republic of China
| | - Dongyue Li
- School of Medical Imaging, Tianjin Medical University, Tianjin 300203, People's Republic of China
| | - Chunhong Hu
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, People's Republic of China
| |
Collapse
|
16
|
Ultra-high-resolution 3D digitalized imaging of the cerebral angioarchitecture in rats using synchrotron radiation. Sci Rep 2015; 5:14982. [PMID: 26443231 PMCID: PMC4595735 DOI: 10.1038/srep14982] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Accepted: 09/15/2015] [Indexed: 02/07/2023] Open
Abstract
The angioarchitecture is a fundamental aspect of brain development and physiology. However, available imaging tools are unsuited for non-destructive cerebral mapping of the functionally important three-dimensional (3D) vascular microstructures. To address this issue, we developed an ultra-high resolution 3D digitalized angioarchitectural map for rat brain, based on synchrotron radiation phase contrast imaging (SR-PCI) with pixel size of 5.92 μm. This approach provides a systematic and detailed view of the cerebrovascular anatomy at the micrometer level without any need for contrast agents. From qualitative and quantitative perspectives, the present 3D data provide a considerable insight into the spatial vascular network for whole rodent brain, particularly for functionally important regions of interest, such as the hippocampus, pre-frontal cerebral cortex and the corpus striatum. We extended these results to synchrotron-based virtual micro-endoscopy, thus revealing the trajectory of targeted vessels in 3D. The SR-PCI method for systematic visualization of cerebral microvasculature holds considerable promise for wider application in life sciences, including 3D micro-imaging in experimental models of neurodevelopmental and vascular disorders.
Collapse
|
17
|
Xuan R, Zhao X, Hu D, Jian J, Wang T, Hu C. Three-dimensional visualization of the microvasculature of bile duct ligation-induced liver fibrosis in rats by x-ray phase-contrast imaging computed tomography. Sci Rep 2015. [PMID: 26212186 PMCID: PMC4515745 DOI: 10.1038/srep11500] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
X-ray phase-contrast imaging (PCI) can substantially enhance contrast, and is particularly useful in differentiating biological soft tissues with small density differences. Combined with computed tomography (CT), PCI-CT enables the acquisition of accurate microstructures inside biological samples. In this study, liver microvasculature was visualized without contrast agents in vitro with PCI-CT using liver fibrosis samples induced by bile duct ligation (BDL) in rats. The histological section examination confirmed the correspondence of CT images with the microvascular morphology of the samples. By means of the PCI-CT and three-dimensional (3D) visualization technique, 3D microvascular structures in samples from different stages of liver fibrosis were clearly revealed. Different types of blood vessels, including portal veins and hepatic veins, in addition to ductular proliferation and bile ducts, could be distinguished with good sensitivity, excellent specificity and excellent accuracy. The study showed that PCI-CT could assess the morphological changes in liver microvasculature that result from fibrosis and allow characterization of the anatomical and pathological features of the microvasculature. With further development of PCI-CT technique, it may become a novel noninvasive imaging technique for the auxiliary analysis of liver fibrosis.
Collapse
Affiliation(s)
- Ruijiao Xuan
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| | - Xinyan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Doudou Hu
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Jianbo Jian
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| | - Tailing Wang
- Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Chunhong Hu
- College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| |
Collapse
|
18
|
Guan H, Xu Q, Garson AB, Anastasio MA. Boundary-enhancement in propagation-based x-ray phase-contrast tomosynthesis improves depth position characterization. Phys Med Biol 2015; 60:N151-65. [PMID: 25831266 DOI: 10.1088/0031-9155/60/8/n151] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Propagation-based x-ray phase-contrast (PB XPC) tomosynthesis combines the concepts of tomosynthesis and XPC imaging to realize the advantages of both for biological imaging applications. Tomosynthesis permits reductions in acquisition times compared with full-view tomography, while XPC imaging provides the opportunity to resolve weakly absorbing structures. In this note, an investigation of the depth resolving properties of PB XPC tomosynthesis is conducted. The results demonstrate that in-plane structures display strong boundary-enhancement while out-of-plane structures do not. This effect can facilitate the identification of in-plane structures in PB XPC tomosynthesis that could normally not be distinguished from out-of-plane structures in absorption-based tomosynthesis.
Collapse
Affiliation(s)
- Huifeng Guan
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63112, USA
| | | | | | | |
Collapse
|
19
|
Appel AA, Larson JC, Garson AB, Guan H, Zhong Z, Nguyen BNB, Fisher JP, Anastasio MA, Brey EM. X-ray phase contrast imaging of calcified tissue and biomaterial structure in bioreactor engineered tissues. Biotechnol Bioeng 2014; 112:612-20. [DOI: 10.1002/bit.25467] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2014] [Revised: 09/10/2014] [Accepted: 09/18/2014] [Indexed: 11/12/2022]
Affiliation(s)
- Alyssa A. Appel
- Department of Biomedical Engineering; Illinois Institute of Technology; 3255 South Dearborn St Chicago Illinois 60616
- Research Services; Edward Hines Jr. VA Hospital; 5000 S. 5th Avenue Hines Illinois 60141
| | - Jeffery C. Larson
- Department of Biomedical Engineering; Illinois Institute of Technology; 3255 South Dearborn St Chicago Illinois 60616
- Research Services; Edward Hines Jr. VA Hospital; 5000 S. 5th Avenue Hines Illinois 60141
| | - Alfred B. Garson
- Department of Biomedical Engineering; Washington University in St. Louis; St. Louis Missouri
| | - Huifeng Guan
- Department of Biomedical Engineering; Washington University in St. Louis; St. Louis Missouri
| | - Zhong Zhong
- National Synchrotron Light Source; Brookhaven National Laboratory; Upton New York
| | - Bao-Ngoc B. Nguyen
- Fischell Department of Bioengineering; University of Maryland; College Park Maryland
| | - John P. Fisher
- Fischell Department of Bioengineering; University of Maryland; College Park Maryland
| | - Mark A. Anastasio
- Department of Biomedical Engineering; Washington University in St. Louis; St. Louis Missouri
| | - Eric M. Brey
- Department of Biomedical Engineering; Illinois Institute of Technology; 3255 South Dearborn St Chicago Illinois 60616
- Research Services; Edward Hines Jr. VA Hospital; 5000 S. 5th Avenue Hines Illinois 60141
| |
Collapse
|
20
|
|
21
|
Garson A, Izaguirre E, Price S, Anastasio M. Characterization of speckle in lung images acquired with a benchtop in-line x-ray phase-contrast system. Phys Med Biol 2013; 58:4237-53. [PMID: 23719476 PMCID: PMC4031689 DOI: 10.1088/0031-9155/58/12/4237] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
We investigate the manifestation of speckle in propagation-based x-ray phase-contrast imaging of mouse lungs in situ by use of a benchtop imager. The key contributions of the work are the demonstration that lung speckle can be observed by use of a benchtop imaging system employing a polychromatic tube-source and a systematic experimental investigation of how the texture of the speckle pattern depends on the parameters of the imaging system. Our analyses consists of image texture characterization based on the statistical properties of pixel intensity values.
Collapse
Affiliation(s)
- A.B. Garson
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130
| | - E.W. Izaguirre
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130
- Washington University School of Medicine, St. Louis, MO 63110
- Nuclear Science and Engineering Institute. University of Missouri, Columbia, MO, 65211
| | - S.G. Price
- Washington University School of Medicine, St. Louis, MO 63110
- Nuclear Science and Engineering Institute. University of Missouri, Columbia, MO, 65211
| | - M.A. Anastasio
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130
| |
Collapse
|
22
|
PAUWELS E, VAN LOO D, CORNILLIE P, BRABANT L, VAN HOOREBEKE L. An exploratory study of contrast agents for soft tissue visualization by means of high resolution X-ray computed tomography imaging. J Microsc 2013; 250:21-31. [DOI: 10.1111/jmi.12013] [Citation(s) in RCA: 134] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|