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Schmidt C, Planchette AL, Nguyen D, Giardina G, Neuenschwander Y, Franco MD, Mylonas A, Descloux AC, Pomarico E, Radenovic A, Extermann J. High resolution optical projection tomography platform for multispectral imaging of the mouse gut. BIOMEDICAL OPTICS EXPRESS 2021; 12:3619-3629. [PMID: 34221683 PMCID: PMC8221953 DOI: 10.1364/boe.423284] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/06/2021] [Accepted: 05/18/2021] [Indexed: 06/13/2023]
Abstract
Optical projection tomography (OPT) is a powerful tool for three-dimensional imaging of mesoscopic biological samples with great use for biomedical phenotyping studies. We present a fluorescent OPT platform that enables direct visualization of biological specimens and processes at a centimeter scale with high spatial resolution, as well as fast data throughput and reconstruction. We demonstrate nearly isotropic sub-28 µm resolution over more than 60 mm3 after reconstruction of a single acquisition. Our setup is optimized for imaging the mouse gut at multiple wavelengths. Thanks to a new sample preparation protocol specifically developed for gut specimens, we can observe the spatial arrangement of the intestinal villi and the vasculature network of a 3-cm long healthy mouse gut. Besides the blood vessel network surrounding the gastrointestinal tract, we observe traces of vasculature at the villi ends close to the lumen. The combination of rapid acquisition and a large field of view with high spatial resolution in 3D mesoscopic imaging holds an invaluable potential for gastrointestinal pathology research.
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Affiliation(s)
- Cédric Schmidt
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202 Geneva, Switzerland
| | - Arielle L. Planchette
- Laboratoire de Biologie à l’Échelle Nanométrique, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
| | - David Nguyen
- Zlatic Lab, Neurobiology, MRC-Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
| | - Gabriel Giardina
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202 Geneva, Switzerland
| | - Yoan Neuenschwander
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202 Geneva, Switzerland
| | - Mathieu Di Franco
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202 Geneva, Switzerland
| | - Alessio Mylonas
- Laboratoire de Biologie à l’Échelle Nanométrique, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
| | - Adrien C. Descloux
- Laboratoire de Biologie à l’Échelle Nanométrique, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
| | - Enrico Pomarico
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202 Geneva, Switzerland
| | - Aleksandra Radenovic
- Laboratoire de Biologie à l’Échelle Nanométrique, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
| | - Jérôme Extermann
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202 Geneva, Switzerland
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Ancora D, Di Battista D, Marcos Vidal A, Avtzi S, Zacharakis G, Bassi A. Hidden phase-retrieved fluorescence tomography. OPTICS LETTERS 2020; 45:2191-2194. [PMID: 32287191 DOI: 10.1364/ol.385970] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Fluorescence tomography is a well-established methodology able to provide structural and functional information on the measured object. At optical wavelengths, the unpredictable scattering of light is often considered a problem to overcome, rather than a feature to exploit. Advances in disordered photonics have shed new light on possibilities offered by opaque materials, treating them as autocorrelation lenses able to create images and focus light. In this Letter, we propose tomography through disorder, introducing a modified Fourier-slice theorem, the cornerstone of the computed tomography, aiming to reconstruct a three-dimensional fluorescent sample hidden behind an opaque curtain.
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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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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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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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