1
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Stavroulakis PI, Ganetsos T, Zabulis X. Large Scale Optical Projection Tomography without the Use of Refractive-Index-Matching Liquid. SENSORS (BASEL, SWITZERLAND) 2023; 23:9814. [PMID: 38139660 PMCID: PMC10747230 DOI: 10.3390/s23249814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 11/28/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023]
Abstract
The practical, rapid, and accurate optical 3D reconstruction of transparent objects with contemporary non-contact optical techniques, has been an open challenge in the field of optical metrology. The combination of refraction, reflection, and transmission in transparent objects makes it very hard to use common off-the-shelf 3D reconstruction solutions to accurately reconstruct transparent objects in three dimensions without completely coating the object with an opaque material. We demonstrate in this work that a specific class of transparent objects can indeed be reconstructed without the use of opaque spray coatings, via Optical Projection Tomography (OPT). Particularly, the 3D reconstruction of large thin-walled hollow transparent objects can be achieved via OPT, without the use of refractive-index-matching liquid, accurately enough for use in both cultural heritage and beverage packaging industry applications. We compare 3D reconstructions of our proposed OPT method to those achieved by an industrial-grade 3D scanner and report average shape differences of ±0.34 mm for 'shelled' hollow objects and ±0.92 mm for 'non-shelled' hollow objects. A disadvantage of using OPT, which was noticed on the thicker 'non-shelled' hollow objects, as opposed to the 'shelled' hollow objects, was that it induced partial filling of hollow areas and the deformation of embossed features.
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Affiliation(s)
- Petros Ioannis Stavroulakis
- Institute of Electronic Structure and Laser, Foundation for Research and Technology—Hellas (FORTH), 700 13 Heraklion, Greece
| | - Theodore Ganetsos
- Non-Destructive Techniques Laboratory, University of West Attica, 122 41 Egaleo, Greece;
| | - Xenophon Zabulis
- Institute of Computer Science (ICS), Foundation for Research and Technology—Hellas (FORTH), 700 13 Heraklion, Greece;
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2
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Belay B, Figueiras E, Hyttinen J, Ahola A. Multifocal optical projection microscopy enables label-free 3D measurement of cardiomyocyte cluster contractility. Sci Rep 2023; 13:19788. [PMID: 37957157 PMCID: PMC10643565 DOI: 10.1038/s41598-023-46510-4] [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: 04/25/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023] Open
Abstract
Human induced pluripotent stem cell (hiPSC)-derived cardiomyocyte (CM) models have become an attractive tool for in vitro cardiac disease modeling and drug studies. These models are moving towards more complex three-dimensional microphysiological organ-on-chip systems. Label-free imaging-based techniques capable of quantifying contractility in 3D are needed, as traditional two-dimensional methods are ill-suited for 3D applications. Here, we developed multifocal (MF) optical projection microscopy (OPM) by integrating an electrically tunable lens to our in-house built optical projection tomography setup for extended depth of field brightfield imaging in CM clusters. We quantified cluster biomechanics by implementing our previously developed optical flow-based CM video analysis for MF-OPM. To demonstrate, we acquired and analyzed multiangle and multifocal projection videos of beating hiPSC-CM clusters in 3D hydrogel. We further quantified cluster contractility response to temperature and adrenaline and observed changes to beating rate and relaxation. Challenges emerge from light penetration and overlaying textures in larger clusters. However, our findings indicate that MF-OPM is suitable for contractility studies of 3D clusters. Thus, for the first time, MF-OPM is used in CM studies and hiPSC-CM 3D cluster contraction is quantified in multiple orientations and imaging planes.
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Affiliation(s)
- Birhanu Belay
- BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
| | - Edite Figueiras
- Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Jari Hyttinen
- BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
| | - Antti Ahola
- BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
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3
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Ciarpella F, Zamfir RG, Campanelli A, Ren E, Pedrotti G, Bottani E, Borioli A, Caron D, Di Chio M, Dolci S, Ahtiainen A, Malpeli G, Malerba G, Bardoni R, Fumagalli G, Hyttinen J, Bifari F, Palazzolo G, Panuccio G, Curia G, Decimo I. Murine cerebral organoids develop network of functional neurons and hippocampal brain region identity. iScience 2021; 24:103438. [PMID: 34901791 PMCID: PMC8640475 DOI: 10.1016/j.isci.2021.103438] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 10/13/2021] [Accepted: 11/10/2021] [Indexed: 12/12/2022] Open
Abstract
Brain organoids are in vitro three-dimensional (3D) self-organized neural structures, which can enable disease modeling and drug screening. However, their use for standardized large-scale drug screening studies is limited by their high batch-to-batch variability, long differentiation time (10-20 weeks), and high production costs. This is particularly relevant when brain organoids are obtained from human induced pluripotent stem cells (iPSCs). Here, we developed, for the first time, a highly standardized, reproducible, and fast (5 weeks) murine brain organoid model starting from embryonic neural stem cells. We obtained brain organoids, which progressively differentiated and self-organized into 3D networks of functional neurons with dorsal forebrain phenotype. Furthermore, by adding the morphogen WNT3a, we generated brain organoids with specific hippocampal region identity. Overall, our results showed the establishment of a fast, robust and reproducible murine 3D in vitro brain model that may represent a useful tool for high-throughput drug screening and disease modeling.
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Affiliation(s)
- Francesca Ciarpella
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Raluca Georgiana Zamfir
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Alessandra Campanelli
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Elisa Ren
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Giulia Pedrotti
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Emanuela Bottani
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Andrea Borioli
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Davide Caron
- Department of Neuroscience and Brain Technologies (NBT), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Marzia Di Chio
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Sissi Dolci
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Annika Ahtiainen
- BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
| | - Giorgio Malpeli
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, 37134 Verona, Italy
| | - Giovanni Malerba
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Rita Bardoni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Guido Fumagalli
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
| | - Jari Hyttinen
- BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
| | - Francesco Bifari
- Laboratory of Cell Metabolism and Regenerative Medicine, Department of Medical Biotechnology and Translational Medicine, University of Milan, 20133 Milan, Italy
| | - Gemma Palazzolo
- Department of Neuroscience and Brain Technologies (NBT), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Gabriella Panuccio
- Department of Neuroscience and Brain Technologies (NBT), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Giulia Curia
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Ilaria Decimo
- Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, P.le Scuro 10, 37134 Verona, Italy
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4
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Lehti-Polojärvi M, Räsänen MJ, Viiri LE, Vuorenpää H, Miettinen S, Seppänen A, Hyttinen J. Retrieval of the conductivity spectrum of tissues in vitrowith novel multimodal tomography. Phys Med Biol 2021; 66. [PMID: 34587596 DOI: 10.1088/1361-6560/ac2b7f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/29/2021] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Imaging of tissue engineered three-dimensional (3D) specimens is challenging due to their thickness. We propose a novel multimodal imaging technique to obtain multi-physical 3D images and the electrical conductivity spectrum of tissue engineered specimensin vitro. APPROACH We combine simultaneous recording of rotational multifrequency electrical impedance tomography (R-mfEIT) with optical projection tomography (OPT). Structural details of the specimen provided by OPT are used here as geometrical priors for R-mfEIT. MAIN RESULTS This data fusion enables accurate retrieval of the conductivity spectrum of the specimen. We demonstrate experimentally the feasibility of the proposed technique using a potato phantom, adipose and liver tissues, and stem cells in biomaterial spheroids. The results indicate that the proposed technique can distinguish between viable and dead tissues and detect the presence of stem cells. SIGNIFICANCE This technique is expected to become a valuable tool for monitoring tissue engineered specimens' growth and viabilityin vitro.
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Affiliation(s)
- M Lehti-Polojärvi
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - M J Räsänen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - L E Viiri
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - H Vuorenpää
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - S Miettinen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - A Seppänen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - J Hyttinen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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5
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Three-Dimensional Culture of Rhipicephalus ( Boophilus) microplus BmVIII-SCC Cells on Multiple Synthetic Scaffold Systems and in Rotating Bioreactors. INSECTS 2021; 12:insects12080747. [PMID: 34442313 PMCID: PMC8396921 DOI: 10.3390/insects12080747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/10/2021] [Accepted: 08/14/2021] [Indexed: 12/12/2022]
Abstract
Tick cell culture facilitates research on the biology of ticks and their role as vectors of pathogens that affect humans, domestic animals, and wildlife. Because two-dimensional cell culture doesn't promote the development of multicellular tissue-like composites, we hypothesized that culturing tick cells in a three-dimensional (3-D) configuration would form spheroids or tissue-like organoids. In this study, the cell line BmVIII-SCC obtained from the cattle fever tick, Rhipicephalus (Boophilus) microplus (Canestrini, 1888), was cultured in different synthetic scaffold systems. Growth of the tick cells on macrogelatinous beads in rotating continuous culture system bioreactors enabled cellular attachment, organization, and development into spheroid-like aggregates, with evidence of tight cellular junctions between adjacent cells and secretion of an extracellular matrix. At least three cell morphologies were identified within the aggregates: fibroblast-like cells, small endothelial-like cells, and larger cells exhibiting multiple cytoplasmic endosomes and granular vesicles. These observations suggest that BmVIII-SCC cells adapted to 3-D culture retain pluripotency. Additional studies involving genomic analyses are needed to determine if BmVIII-SCC cells in 3-D culture mimic tick organs. Applications of 3-D culture to cattle fever tick research are discussed.
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6
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Carter EP, Roozitalab R, Gibson SV, Grose RP. Tumour microenvironment 3D-modelling: simplicity to complexity and back again. Trends Cancer 2021; 7:1033-1046. [PMID: 34312120 DOI: 10.1016/j.trecan.2021.06.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/16/2021] [Accepted: 06/28/2021] [Indexed: 02/07/2023]
Abstract
Tumours are surrounded by a host of noncancerous cells that fulfil both supportive and suppressive roles within the tumour microenvironment (TME). The drive to understand the biology behind each of these components has led to a rapid expansion in the number and use of 3D in vitro models, as researchers find ways to incorporate multiple cell types into physiomimetic configurations. The use and increasing complexity of these models does however demand many considerations. In this review we discuss approaches adopted to recapitulate complex tumour biology in tractable 3D models. We consider how these cell types can be sourced and combined and examine methods for the deconvolution of complex multicellular models into manageable and informative outputs.
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Affiliation(s)
- Edward P Carter
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Reza Roozitalab
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Shayin V Gibson
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Richard P Grose
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
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7
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Belay B, Koivisto JT, Parraga J, Koskela O, Montonen T, Kellomäki M, Figueiras E, Hyttinen J. Optical projection tomography as a quantitative tool for analysis of cell morphology and density in 3D hydrogels. Sci Rep 2021; 11:6538. [PMID: 33753803 PMCID: PMC7985381 DOI: 10.1038/s41598-021-85996-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 03/05/2021] [Indexed: 01/29/2023] Open
Abstract
Assessing cell morphology and function, as well as biomaterial performance in cell cultures, is one of the key challenges in cell biology and tissue engineering (TE) research. In TE, there is an urgent need for methods to image actual three-dimensional (3D) cell cultures and access the living cells. This is difficult using established optical microscopy techniques such as wide-field or confocal microscopy. To address the problem, we have developed a new protocol using Optical Projection Tomography (OPT) to extract quantitative and qualitative measurements from hydrogel cell cultures. Using our tools, we demonstrated the method by analyzing cell response in three different hydrogel formulations in 3D with 1.5 mm diameter samples of: gellan gum (GG), gelatin functionalized gellan gum (gelatin-GG), and Geltrex. We investigated cell morphology, density, distribution, and viability in 3D living cells. Our results showed the usability of the method to quantify the cellular responses to biomaterial environment. We observed that an elongated morphology of cells, thus good material response, in gelatin-GG and Geltrex hydrogels compared with basic GG. Our results show that OPT has a sensitivity to assess in real 3D cultures the differences of cellular responses to the properties of biomaterials supporting the cells.
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Affiliation(s)
- Birhanu Belay
- Computational Biophysics and Imaging Group, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön Katu 34, 33520, Tampere, Finland.
| | - Janne T Koivisto
- Biomaterials and Tissue Engineering Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Heart Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Division of Pathology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jenny Parraga
- Biomaterials and Tissue Engineering Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli Koskela
- Computational Biophysics and Imaging Group, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön Katu 34, 33520, Tampere, Finland.,HAMK Smart Research Unit, Häme University of Applied Sciences, Hämeenlinna, Finland
| | - Toni Montonen
- Computational Biophysics and Imaging Group, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön Katu 34, 33520, Tampere, Finland
| | - Minna Kellomäki
- Biomaterials and Tissue Engineering Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Edite Figueiras
- Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Jari Hyttinen
- Computational Biophysics and Imaging Group, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön Katu 34, 33520, Tampere, Finland
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8
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A tube-source X-ray microtomography approach for quantitative 3D microscopy of optically challenging cell-cultured samples. Commun Biol 2020; 3:548. [PMID: 33009501 PMCID: PMC7532209 DOI: 10.1038/s42003-020-01273-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 09/03/2020] [Indexed: 01/23/2023] Open
Abstract
Development and study of cell-cultured constructs, such as tissue-engineering scaffolds or organ-on-a-chip platforms require a comprehensive, representative view on the cells inside the used materials. However, common characteristics of biomedical materials, for example, in porous, fibrous, rough-surfaced, and composite materials, can severely disturb low-energy imaging. In order to image and quantify cell structures in optically challenging samples, we combined labeling, 3D X-ray imaging, and in silico processing into a methodological pipeline. Cell-structure images were acquired by a tube-source X-ray microtomography device and compared to optical references for assessing the visual and quantitative accuracy. The spatial coverage of the X-ray imaging was demonstrated by investigating stem-cell nuclei inside clinically relevant-sized tissue-engineering scaffolds (5x13 mm) that were difficult to examine with the optical methods. Our results highlight the potential of the readily available X-ray microtomography devices that can be used to thoroughly study relative large cell-cultured samples with microscopic 3D accuracy. Tamminen et al. show that a commercial, tube-source µCT device combined with computational image analysis can be used to obtain quantitative 3D data for cellular structures in optically-challenging samples hard to image using other methods.
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9
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Zhang H, Waldmann L, Manuel R, Boije H, Haitina T, Allalou A. zOPT: an open source optical projection tomography system and methods for rapid 3D zebrafish imaging. BIOMEDICAL OPTICS EXPRESS 2020; 11:4290-4305. [PMID: 32923043 PMCID: PMC7449731 DOI: 10.1364/boe.393519] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/26/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
Optical projection tomography (OPT) is a 3D imaging alternative to conventional microscopy which allows imaging of millimeter-sized object with isotropic micrometer resolution. The zebrafish is an established model organism and an important tool used in genetic and chemical screening. The size and optical transparency of the embryo and larva makes them well suited for imaging using OPT. Here, we present an open-source implementation of an OPT platform, built around a customized sample stage, 3D-printed parts and open source algorithms optimized for the system. We developed a versatile automated workflow including a two-step image processing approach for correcting the center of rotation and generating accurate 3D reconstructions. Our results demonstrate high-quality 3D reconstruction using synthetic data as well as real data of live and fixed zebrafish. The presented 3D-printable OPT platform represents a fully open design, low-cost and rapid loading and unloading of samples. Our system offers the opportunity for researchers with different backgrounds to setup and run OPT for large scale experiments, particularly in studies using zebrafish larvae as their key model organism.
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Affiliation(s)
- Hanqing Zhang
- Division of Visual Information and
Interaction, Department of Information Technology, Uppsala University,
S-75105 Uppsala, Sweden
- BioImage Informatics Facility at
SciLifeLab, S-75105 Uppsala, Sweden
| | - Laura Waldmann
- Department of Organismal Biology, Uppsala
University, S-75236 Uppsala, Sweden
| | - Remy Manuel
- Department of Neuroscience, Uppsala
University, S-75124 Uppsala, Sweden
| | - Henrik Boije
- Department of Neuroscience, Uppsala
University, S-75124 Uppsala, Sweden
| | - Tatjana Haitina
- Department of Organismal Biology, Uppsala
University, S-75236 Uppsala, Sweden
| | - Amin Allalou
- Division of Visual Information and
Interaction, Department of Information Technology, Uppsala University,
S-75105 Uppsala, Sweden
- BioImage Informatics Facility at
SciLifeLab, S-75105 Uppsala, Sweden
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10
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Vallejo Ramirez PP, Zammit J, Vanderpoorten O, Riche F, Blé FX, Zhou XH, Spiridon B, Valentine C, Spasov SE, Oluwasanya PW, Goodfellow G, Fantham MJ, Siddiqui O, Alimagham F, Robbins M, Stretton A, Simatos D, Hadeler O, Rees EJ, Ströhl F, Laine RF, Kaminski CF. OptiJ: Open-source optical projection tomography of large organ samples. Sci Rep 2019; 9:15693. [PMID: 31666606 PMCID: PMC6821862 DOI: 10.1038/s41598-019-52065-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 10/09/2019] [Indexed: 12/20/2022] Open
Abstract
The three-dimensional imaging of mesoscopic samples with Optical Projection Tomography (OPT) has become a powerful tool for biomedical phenotyping studies. OPT uses visible light to visualize the 3D morphology of large transparent samples. To enable a wider application of OPT, we present OptiJ, a low-cost, fully open-source OPT system capable of imaging large transparent specimens up to 13 mm tall and 8 mm deep with 50 µm resolution. OptiJ is based on off-the-shelf, easy-to-assemble optical components and an ImageJ plugin library for OPT data reconstruction. The software includes novel correction routines for uneven illumination and sample jitter in addition to CPU/GPU accelerated reconstruction for large datasets. We demonstrate the use of OptiJ to image and reconstruct cleared lung lobes from adult mice. We provide a detailed set of instructions to set up and use the OptiJ framework. Our hardware and software design are modular and easy to implement, allowing for further open microscopy developments for imaging large organ samples.
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Affiliation(s)
- Pedro P Vallejo Ramirez
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Joseph Zammit
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Oliver Vanderpoorten
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Fergus Riche
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Francois-Xavier Blé
- Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| | - Xiao-Hong Zhou
- Bioscience, Respiratory, Inflammation and Autoimmunity, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Bogdan Spiridon
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | | | - Simeon E Spasov
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | | | - Gemma Goodfellow
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Marcus J Fantham
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Omid Siddiqui
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Farah Alimagham
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Miranda Robbins
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Andrew Stretton
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Dimitrios Simatos
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Oliver Hadeler
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Eric J Rees
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Florian Ströhl
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Department of Physics and Technology, UiT The Arctic University of Norway, NO-9037, Tromsø, Norway
| | - Romain F Laine
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Medical Research Council Laboratory for Molecular Cell Biology (LMCB), University College London, Gower Street, London, WC1E 6BT, UK
| | - Clemens F Kaminski
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
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11
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Koskela O, Montonen T, Belay B, Figueiras E, Pursiainen S, Hyttinen J. Gaussian Light Model in Brightfield Optical Projection Tomography. Sci Rep 2019; 9:13934. [PMID: 31558755 PMCID: PMC6763473 DOI: 10.1038/s41598-019-50469-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 09/12/2019] [Indexed: 01/27/2023] Open
Abstract
This study focuses on improving the reconstruction process of the brightfield optical projection tomography (OPT). OPT is often described as the optical equivalent of X-ray computed tomography, but based on visible light. The detection optics used to collect light in OPT focus on a certain distance and induce blurring in those features out of focus. However, the conventionally used inverse Radon transform assumes an absolute focus throughout the propagation axis. In this study, we model the focusing properties of the detection by coupling Gaussian beam model (GBM) with the Radon transform. The GBM enables the construction of a projection operator that includes modeling of the blurring caused by the light beam. We also introduce the concept of a stretched GBM (SGBM) in which the Gaussian beam is scaled in order to avoid the modeling errors related to the determination of the focal plane. Furthermore, a thresholding approach is used to compress memory usage. We tested the GBM and SGBM approaches using simulated and experimental data in mono- and multifocal modes. When compared with the traditionally used filtered backprojection algorithm, the iteratively computed reconstructions, including the Gaussian models GBM and SGBM, provided smoother images with higher contrast.
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Affiliation(s)
- Olli Koskela
- Faculty of Medicine and Health Technology and BioMediTech Institute, Tampere University, Tampere, 33014, Finland.
- HAMK Smart Research Unit, Häme University of Applied Sciences, Hämeenlinna, 13100, Finland.
| | - Toni Montonen
- Faculty of Medicine and Health Technology and BioMediTech Institute, Tampere University, Tampere, 33014, Finland
| | - Birhanu Belay
- Faculty of Medicine and Health Technology and BioMediTech Institute, Tampere University, Tampere, 33014, Finland
| | - Edite Figueiras
- Champalimaud Research, Champalimaud Foundation, Lisbon, 1400-038, Portugal
| | - Sampsa Pursiainen
- Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, 33014, Finland
| | - Jari Hyttinen
- Faculty of Medicine and Health Technology and BioMediTech Institute, Tampere University, Tampere, 33014, Finland
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12
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Koivisto JT, Gering C, Karvinen J, Maria Cherian R, Belay B, Hyttinen J, Aalto-Setälä K, Kellomäki M, Parraga J. Mechanically Biomimetic Gelatin-Gellan Gum Hydrogels for 3D Culture of Beating Human Cardiomyocytes. ACS APPLIED MATERIALS & INTERFACES 2019; 11:20589-20602. [PMID: 31120238 PMCID: PMC6750838 DOI: 10.1021/acsami.8b22343] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Accepted: 05/17/2019] [Indexed: 05/07/2023]
Abstract
To promote the transition of cell cultures from 2D to 3D, hydrogels are needed to biomimic the extracellular matrix (ECM). One potential material for this purpose is gellan gum (GG), a biocompatible and mechanically tunable hydrogel. However, GG alone does not provide attachment sites for cells to thrive in 3D. One option for biofunctionalization is the introduction of gelatin, a derivative of the abundant ECM protein collagen. Unfortunately, gelatin lacks cross-linking moieties, making the production of self-standing hydrogels difficult under physiological conditions. Here, we explore the functionalization of GG with gelatin at biologically relevant concentrations using semiorthogonal, cytocompatible, and facile chemistry based on hydrazone reaction. These hydrogels exhibit mechanical behavior, especially elasticity, which resembles the cardiac tissue. The use of optical projection tomography for 3D cell microscopy demonstrates good cytocompatibility and elongation of human fibroblasts (WI-38). In addition, human-induced pluripotent stem cell-derived cardiomyocytes attach to the hydrogels and recover their spontaneous beating in 24 h culture. Beating is studied using in-house-built phase contrast video analysis software, and it is comparable with the beating of control cardiomyocytes under regular culture conditions. These hydrogels provide a promising platform to transition cardiac tissue engineering and disease modeling from 2D to 3D.
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Affiliation(s)
- Janne T. Koivisto
- Biomaterials
and Tissue Engineering Group, BioMediTech, Faculty of Medicine and
Health Technology, Tampere University, 33720 Tampere, Finland
- Heart Group, BioMediTech, Faculty
of Medicine and Health Technology and Computational Biophysics
and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
| | - Christine Gering
- Biomaterials
and Tissue Engineering Group, BioMediTech, Faculty of Medicine and
Health Technology, Tampere University, 33720 Tampere, Finland
| | - Jennika Karvinen
- Biomaterials
and Tissue Engineering Group, BioMediTech, Faculty of Medicine and
Health Technology, Tampere University, 33720 Tampere, Finland
| | - Reeja Maria Cherian
- Heart Group, BioMediTech, Faculty
of Medicine and Health Technology and Computational Biophysics
and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
| | - Birhanu Belay
- Heart Group, BioMediTech, Faculty
of Medicine and Health Technology and Computational Biophysics
and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
| | - Jari Hyttinen
- Heart Group, BioMediTech, Faculty
of Medicine and Health Technology and Computational Biophysics
and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
| | - Katriina Aalto-Setälä
- Heart Group, BioMediTech, Faculty
of Medicine and Health Technology and Computational Biophysics
and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
- Heart
Hospital, Tampere University Hospital, 33520 Tampere, Finland
| | - Minna Kellomäki
- Biomaterials
and Tissue Engineering Group, BioMediTech, Faculty of Medicine and
Health Technology, Tampere University, 33720 Tampere, Finland
| | - Jenny Parraga
- Biomaterials
and Tissue Engineering Group, BioMediTech, Faculty of Medicine and
Health Technology, Tampere University, 33720 Tampere, Finland
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13
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Dou S, Liu J, Yang L. Dual-modality optical projection tomography reconstruction method from fewer views. JOURNAL OF BIOPHOTONICS 2019; 12:e201800407. [PMID: 30578626 DOI: 10.1002/jbio.201800407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 06/09/2023]
Abstract
In optical projection tomography (OPT), for longitudinal living model studies, multiple measurements of the same sample are required at different time points. It is important to decrease both the total acquisition time and the light dose to the sample. We improved the ordered subsets expectation maximization reconstruction algorithm for OPT, which reduces the acquisition time and number of projections greatly compared with filtered back projection (FBP), and obtained satisfactory reconstructed images. Using zebrafish, in transmission and fluorescence mode, we demonstrate the capability of the method to reconstruct image from downsampled projection subsets. The result shows that the reconstruction image quality of the proposed method using 30 projections is comparable to that of FBP using 720 projections. The total acquisition procedure can be finished in a few seconds. The method also provides OPT with the remarkable capability to resist noises and artifacts. Projection image and fused image of zebrafish.
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Affiliation(s)
- Shaobin Dou
- Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
| | - Jinhuai Liu
- Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
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14
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Koljonen V, Koskela O, Montonen T, Rezaei A, Belay B, Figueiras E, Hyttinen J, Pursiainen S. A mathematical model and iterative inversion for fluorescent optical projection tomography. Phys Med Biol 2019; 64:045017. [PMID: 30630144 DOI: 10.1088/1361-6560/aafd63] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Solving the fluorophore distribution in a tomographic setting has been difficult because of the lack of physically meaningful and computationally applicable propagation models. This study concentrates on the direct modelling of fluorescence signals in optical projection tomography (OPT), and on the corresponding inverse problem. The reconstruction problem is solved using emission projections corresponding to a series of rotational imaging positions of the sample. Similarly to the bright field OPT bearing resemblance with the transmission x-ray computed tomography, the fluorescent mode OPT is analogous to x-ray fluorescence tomography (XFCT). As an improved direct model for the fluorescent OPT, we derive a weighted Radon transform based on the XFCT literature. Moreover, we propose a simple and fast iteration scheme for the slice-wise reconstruction of the sample. The developed methods are applied in both numerical experiments and inversion of fluorescent OPT data from a zebrafish embryo. The results demonstrate the importance of propagation modelling and our analysis provides a flexible modelling framework for fluorescent OPT that can easily be modified to adapt to different imaging setups.
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Affiliation(s)
- Ville Koljonen
- Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland. BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. Author to whom any correspondence should be addressed
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15
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Vuornos K, Ojansivu M, Koivisto JT, Häkkänen H, Belay B, Montonen T, Huhtala H, Kääriäinen M, Hupa L, Kellomäki M, Hyttinen J, Ihalainen JA, Miettinen S. Bioactive glass ions induce efficient osteogenic differentiation of human adipose stem cells encapsulated in gellan gum and collagen type I hydrogels. MATERIALS SCIENCE & ENGINEERING. C, MATERIALS FOR BIOLOGICAL APPLICATIONS 2019; 99:905-918. [PMID: 30889765 DOI: 10.1016/j.msec.2019.02.035] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 02/05/2019] [Accepted: 02/10/2019] [Indexed: 12/29/2022]
Abstract
BACKGROUND Due to unmet need for bone augmentation, our aim was to promote osteogenic differentiation of human adipose stem cells (hASCs) encapsulated in gellan gum (GG) or collagen type I (COL) hydrogels with bioactive glass (experimental glass 2-06 of composition [wt-%]: Na2O 12.1, K2O 14.0, CaO 19.8, P2O5 2.5, B2O3 1.6, SiO2 50.0) extract based osteogenic medium (BaG OM) for bone construct development. GG hydrogels were crosslinked with spermidine (GG-SPD) or BaG extract (GG-BaG). METHODS Mechanical properties of cell-free GG-SPD, GG-BaG, and COL hydrogels were tested in osteogenic medium (OM) or BaG OM at 0, 14, and 21 d. Hydrogel embedded hASCs were cultured in OM or BaG OM for 3, 14, and 21 d, and analyzed for viability, cell number, osteogenic gene expression, osteocalcin production, and mineralization. Hydroxyapatite-stained GG-SPD samples were imaged with Optical Projection Tomography (OPT) and Selective Plane Illumination Microscopy (SPIM) in OM and BaG OM at 21 d. Furthermore, Raman spectroscopy was used to study the calcium phosphate (CaP) content of hASC-secreted ECM in GG-SPD, GG-BaG, and COL at 21 d in BaG OM. RESULTS The results showed viable rounded cells in GG whereas hASCs were elongated in COL. Importantly, BaG OM induced significantly higher cell number and higher osteogenic gene expression in COL. In both hydrogels, BaG OM induced strong mineralization confirmed as CaP by Raman spectroscopy and significantly improved mechanical properties. GG-BaG hydrogels rescued hASC mineralization in OM. OPT and SPIM showed homogeneous 3D cell distribution with strong mineralization in BaG OM. Also, strong osteocalcin production was visible in COL. CONCLUSIONS Overall, we showed efficacious osteogenesis of hASCs in 3D hydrogels with BaG OM with potential for bone-like grafts.
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Affiliation(s)
- Kaisa Vuornos
- Adult Stem Cell Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 100, FI-33014 Tampere, Finland; Research, Development and Innovation Centre, Tampere University Hospital, P.O. BOX 2000, FI-33521, Tampere, Finland.
| | - Miina Ojansivu
- Adult Stem Cell Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 100, FI-33014 Tampere, Finland; Research, Development and Innovation Centre, Tampere University Hospital, P.O. BOX 2000, FI-33521, Tampere, Finland.
| | - Janne T Koivisto
- Biomaterials and Tissue Engineering Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 527, FI-33101 Tampere, Finland; Heart Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 100, FI-33014 Tampere, Finland.
| | - Heikki Häkkänen
- Nanoscience Center, University of Jyväskylä, P.O. BOX 35, FI-40014 Jyväskylä, Finland.
| | - Birhanu Belay
- Computational Biophysics and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 527, FI-33101 Tampere, Finland.
| | - Toni Montonen
- Computational Biophysics and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 527, FI-33101 Tampere, Finland.
| | - Heini Huhtala
- Faculty of Social Sciences, Tampere University, P.O. BOX 100, FI-33014 Tampere, Finland.
| | - Minna Kääriäinen
- Department of Plastic and Reconstructive Surgery, Tampere University Hospital, P.O. BOX 2000, FI-33521 Tampere, Finland.
| | - Leena Hupa
- Johan Gadolin Process Chemistry Centre, Åbo Akademi University, Biskopsgatan 8, FI-20500 Åbo, Finland.
| | - Minna Kellomäki
- Biomaterials and Tissue Engineering Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 527, FI-33101 Tampere, Finland.
| | - Jari Hyttinen
- Computational Biophysics and Imaging Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 527, FI-33101 Tampere, Finland.
| | - Janne A Ihalainen
- Nanoscience Center, University of Jyväskylä, P.O. BOX 35, FI-40014 Jyväskylä, Finland.
| | - Susanna Miettinen
- Adult Stem Cell Group, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O. BOX 100, FI-33014 Tampere, Finland; Research, Development and Innovation Centre, Tampere University Hospital, P.O. BOX 2000, FI-33521, Tampere, Finland.
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16
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Ribeiro VP, Silva-Correia J, Gonçalves C, Pina S, Radhouani H, Montonen T, Hyttinen J, Roy A, Oliveira AL, Reis RL, Oliveira JM. Rapidly responsive silk fibroin hydrogels as an artificial matrix for the programmed tumor cells death. PLoS One 2018; 13:e0194441. [PMID: 29617395 PMCID: PMC5884513 DOI: 10.1371/journal.pone.0194441] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 03/02/2018] [Indexed: 01/29/2023] Open
Abstract
Timely and spatially-regulated injectable hydrogels, able to suppress growing tumors in response to conformational transitions of proteins, are of great interest in cancer research and treatment. Herein, we report rapidly responsive silk fibroin (SF) hydrogels formed by a horseradish peroxidase (HRP) crosslinking reaction at physiological conditions, and demonstrate their use as an artificial biomimetic three-dimensional (3D) matrix. The proposed SF hydrogels presented a viscoelastic nature of injectable hydrogels and spontaneous conformational changes from random coil to β-sheet conformation under physiological conditions. A human neuronal glioblastoma (U251) cell line was used for screening cell encapsulation and in vitro evaluation within the SF hydrogels. The transparent random coil SF hydrogels promoted cell viability and proliferation up to 10 days of culturing, while the crystalline SF hydrogels converted into β-sheet structure induced the formation of TUNEL-positive apoptotic cells. Therefore, this work provides a powerful tool for the investigation of the microenvironment on the programed tumor cells death, by using rapidly responsive SF hydrogels as 3D in vitro tumor models.
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Affiliation(s)
- Viviana P. Ribeiro
- 3B’s Research Group – Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
- ICVS/3B's – PT Government Associated Laboratory, Braga/Guimarães, Portugal
- * E-mail:
| | - Joana Silva-Correia
- 3B’s Research Group – Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
- ICVS/3B's – PT Government Associated Laboratory, Braga/Guimarães, Portugal
| | - Cristiana Gonçalves
- 3B’s Research Group – Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
- ICVS/3B's – PT Government Associated Laboratory, Braga/Guimarães, Portugal
| | - Sandra Pina
- 3B’s Research Group – Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
- ICVS/3B's – PT Government Associated Laboratory, Braga/Guimarães, Portugal
| | - Hajer Radhouani
- 3B’s Research Group – Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
- ICVS/3B's – PT Government Associated Laboratory, Braga/Guimarães, Portugal
| | - Toni Montonen
- Computational Biophysics and Imaging Group, ELT Department, Tampere University of Technology, Tampere, Finland
- BioMediTech - Institute of Biosciences and Medical Technology, Tampere, Finland
| | - Jari Hyttinen
- Computational Biophysics and Imaging Group, ELT Department, Tampere University of Technology, Tampere, Finland
- BioMediTech - Institute of Biosciences and Medical Technology, Tampere, Finland
| | - Anirban Roy
- Anasys Instruments Corp - Santa Barbara, California, United States of America
| | - Ana L. Oliveira
- CBQF – Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Porto, Portugal
| | - Rui L. Reis
- 3B’s Research Group – Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
- ICVS/3B's – PT Government Associated Laboratory, Braga/Guimarães, Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Headquarters at University of Minho, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
| | - Joaquim M. Oliveira
- 3B’s Research Group – Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
- ICVS/3B's – PT Government Associated Laboratory, Braga/Guimarães, Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Headquarters at University of Minho, Avepark – Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, Guimarães, Portugal
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17
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Zou J, Pyykkö I, Hyttinen J. Inner ear barriers to nanomedicine-augmented drug delivery and imaging. J Otol 2016; 11:165-177. [PMID: 29937826 PMCID: PMC6002620 DOI: 10.1016/j.joto.2016.11.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 11/15/2016] [Accepted: 11/18/2016] [Indexed: 02/08/2023] Open
Abstract
There are several challenges to inner ear drug delivery and imaging due to the existence of tight biological barriers to the target structure and the dense bone surrounding it. Advances in imaging and nanomedicine may provide knowledge for overcoming the existing limitations to both the diagnosis and treatment of inner ear diseases. Novel techniques have improved the efficacy of drug delivery and targeting to the inner ear, as well as the quality and accuracy of imaging this structure. In this review, we will describe the pathways and biological barriers of the inner ear regarding drug delivery, the beneficial applications and limitations of the imaging techniques available for inner ear research, the behavior of engineered nanomaterials in inner ear applications, and future perspectives for nanomedicine-based inner ear imaging.
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Affiliation(s)
- Jing Zou
- Department of Otolaryngology – Head and Neck Surgery, Center for Otolaryngology – Head & Neck Surgery of Chinese PLA, Changhai Hospital, Second Military Medical University, Shanghai, China
- Hearing and Balance Research Unit, Field of Otolaryngology, School of Medicine, University of Tampere, Tampere, Finland
| | - Ilmari Pyykkö
- Hearing and Balance Research Unit, Field of Otolaryngology, School of Medicine, University of Tampere, Tampere, Finland
| | - Jari Hyttinen
- Department of Electronics and Communications Engineering, BioMediTech, Tampere University of Technology, Tampere, Finland
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18
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Soto AM, Koivisto JT, Parraga JE, Silva-Correia J, Oliveira JM, Reis RL, Kellomäki M, Hyttinen J, Figueiras E. Optical Projection Tomography Technique for Image Texture and Mass Transport Studies in Hydrogels Based on Gellan Gum. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2016; 32:5173-5182. [PMID: 27138138 DOI: 10.1021/acs.langmuir.6b00554] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The microstructure and permeability are crucial factors for the development of hydrogels for tissue engineering, since they influence cell nutrition, penetration, and proliferation. The currently available imaging methods able to characterize hydrogels have many limitations. They often require sample drying and other destructive processing, which can change hydrogel structure, or they have limited imaging penetration depth. In this work, we show for the first time an alternative nondestructive method, based on optical projection tomography (OPT) imaging, to characterize hydrated hydrogels without the need of sample processing. As proof of concept, we used gellan gum (GG) hydrogels obtained by several cross-linking methods. Transmission mode OPT was used to analyze image microtextures, and emission mode OPT to study mass transport. Differences in hydrogel structure related to different types of cross-linking and between modified and native GG were found through the acquired Haralick's image texture features followed by multiple discriminant analysis (MDA). In mass transport studies, the mobility of FITC-dextran (MW 20, 150, 2000 kDa) was analyzed through the macroscopic hydrogel. The FITC-dextran velocities were found to be inversely proportional to the size of the dextran as expected. Furthermore, the threshold size in which the transport is affected by the hydrogel mesh was found to be 150 kDa (Stokes' radii between 69 and 95 Å). On the other hand, the mass transport study allowed us to define an index of homogeneity to assess the cross-linking distribution, structure inside the hydrogel, and repeatability of hydrogel production. As a conclusion, we showed that the set of OPT imaging based material characterization methods presented here are useful for screening many characteristics of hydrogel compositions in relatively short time in an inexpensive manner, providing tools for improving the process of designing hydrogels for tissue engineering and drugs/cells delivery applications.
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Affiliation(s)
- Ana M Soto
- Computational Biophysics and Imaging Group, ELT Department, Tampere University of Technology , 33720 Tampere, Finland
- BioMediTech - Institute of Biosciences and Medical Technology,33720 Tampere, Finland
| | - Janne T Koivisto
- BioMediTech - Institute of Biosciences and Medical Technology,33720 Tampere, Finland
- Biomaterials and Tissue Engineering Group, ELT Department, Tampere University of Technology , 33720 Tampere, Finland
- Heart Group, BioMediTech, University of Tampere , 33720 Tampere, Finland
| | - Jenny E Parraga
- BioMediTech - Institute of Biosciences and Medical Technology,33720 Tampere, Finland
- Biomaterials and Tissue Engineering Group, ELT Department, Tampere University of Technology , 33720 Tampere, Finland
| | - Joana Silva-Correia
- 3B's Research Group, Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine Barco GMR, 4704-553 Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal
| | - Joaquim M Oliveira
- 3B's Research Group, Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine Barco GMR, 4704-553 Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal
| | - Rui L Reis
- 3B's Research Group, Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine Barco GMR, 4704-553 Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal
| | - Minna Kellomäki
- BioMediTech - Institute of Biosciences and Medical Technology,33720 Tampere, Finland
- Biomaterials and Tissue Engineering Group, ELT Department, Tampere University of Technology , 33720 Tampere, Finland
| | - Jari Hyttinen
- Computational Biophysics and Imaging Group, ELT Department, Tampere University of Technology , 33720 Tampere, Finland
- BioMediTech - Institute of Biosciences and Medical Technology,33720 Tampere, Finland
| | - Edite Figueiras
- Computational Biophysics and Imaging Group, ELT Department, Tampere University of Technology , 33720 Tampere, Finland
- BioMediTech - Institute of Biosciences and Medical Technology,33720 Tampere, Finland
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19
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Hejazi SM, Sarkar S, Darezereshki Z. Fast multislice fluorescence molecular tomography using sparsity-inducing regularization. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:26012. [PMID: 26927222 DOI: 10.1117/1.jbo.21.2.026012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 02/04/2016] [Indexed: 05/05/2023]
Abstract
Fluorescence molecular tomography (FMT) is a rapidly growing imaging method that facilitates the recovery of small fluorescent targets within biological tissue. The major challenge facing the FMT reconstruction method is the ill-posed nature of the inverse problem. In order to overcome this problem, the acquisition of large FMT datasets and the utilization of a fast FMT reconstruction algorithm with sparsity regularization have been suggested recently. Therefore, the use of a joint L1/total-variation (TV) regularization as a means of solving the ill-posed FMT inverse problem is proposed. A comparative quantified analysis of regularization methods based on L1-norm and TV are performed using simulated datasets, and the results show that the fast composite splitting algorithm regularization method can ensure the accuracy and robustness of the FMT reconstruction. The feasibility of the proposed method is evaluated in an in vivo scenario for the subcutaneous implantation of a fluorescent-dye-filled capillary tube in a mouse, and also using hybrid FMT and x-ray computed tomography data. The results show that the proposed regularization overcomes the difficulties created by the ill-posed inverse problem.
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Affiliation(s)
- Sedigheh Marjaneh Hejazi
- Tehran University of Medical Sciences, Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran 1417613151, IranbTehran University of Medical Sciences, Research Center for Molecular and Cellular in Imaging, Bio-optical Imaging Gro
| | - Saeed Sarkar
- Tehran University of Medical Sciences, Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran 1417613151, IrancTehran University of Medical Sciences, Research Center for Science and Technology in Medicine, Imam Khomeini Hospital
| | - Ziba Darezereshki
- Tehran University of Medical Sciences, Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran 1417613151, Iran
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