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Bonaventura J, Morara K, Carlson R, Comrie C, Twer A, Hutchinson E, Sawyer TW. Evaluating backscattering polarized light imaging microstructural mapping capabilities through neural tissue and analogous phantom imaging. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:052914. [PMID: 38077501 PMCID: PMC10704260 DOI: 10.1117/1.jbo.29.5.052914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 10/01/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023]
Abstract
Significance Knowledge of fiber microstructure and orientation in the brain is critical for many applications. Polarized light imaging (PLI) has been shown to have potential for better understanding neural fiber microstructure and directionality due to the anisotropy in myelin sheaths surrounding nerve fibers of the brain. Continuing to advance backscattering based PLI systems could provide a valuable avenue for in vivo neural imaging. Aim To assess the potential of backscattering PLI systems, the ability to resolve crossing fibers, and the sensitivity to fiber inclination and curvature are considered across different imaging wavelengths. Approach Investigation of these areas of relative uncertainty is undergone through imaging potential phantoms alongside analogous regions of interest in fixed ferret brain samples with a five-wavelength backscattering Mueller matrix polarimeter. Results Promising phantoms are discovered for which the retardance, diattenuation and depolarization mappings are derived from the Mueller matrix and studied to assess the sensitivity of this polarimeter configuration to fiber orientations and tissue structures. Conclusions Rich avenues for future study include further classifying this polarimeter's sensitivity to fiber inclination and fiber direction to accurately produce microstructural maps of neural tissue.
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Affiliation(s)
- Justina Bonaventura
- University of Arizona, Wyant College of Optical Sciences, Tucson, Arizona, United States
| | - Kellys Morara
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - Rhea Carlson
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - Courtney Comrie
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - AnneLeigh Twer
- University of Arizona, Department of Molecular and Cellular Biology, Tucson, Arizona, United States
| | - Elizabeth Hutchinson
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - Travis W. Sawyer
- University of Arizona, Wyant College of Optical Sciences, Tucson, Arizona, United States
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
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2
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Savatović S, Zdora MC, De Marco F, Bikis C, Olbinado M, Rack A, Müller B, Thibault P, Zanette I. Multi-resolution X-ray phase-contrast and dark-field tomography of human cerebellum with near-field speckles. BIOMEDICAL OPTICS EXPRESS 2024; 15:142-161. [PMID: 38223169 PMCID: PMC10783905 DOI: 10.1364/boe.502664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/30/2023] [Accepted: 11/09/2023] [Indexed: 01/16/2024]
Abstract
In this study, we use synchrotron-based multi-modal X-ray tomography to examine human cerebellar tissue in three dimensions at two levels of spatial resolution (2.3 µm and 11.9 µm). We show that speckle-based imaging (SBI) produces results that are comparable to propagation-based imaging (PBI), a well-established phase-sensitive imaging method. The different SBI signals provide complementary information, which improves tissue differentiation. In particular, the dark-field signal aids in distinguishing tissues with similar average electron density but different microstructural variations. The setup's high resolution and the imaging technique's excellent phase sensitivity enabled the identification of different cellular layers and additionally, different cell types within these layers. We also correlated this high-resolution phase-contrast information with measured dark-field signal levels. These findings demonstrate the viability of SBI and the potential benefit of the dark-field modality for virtual histology of brain tissue.
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Affiliation(s)
- Sara Savatović
- Department of Physics, University of Trieste, Via Valerio 2, 34127 Trieste, Italy
- Elettra-Sincrotrone Trieste, Strada Statale 14 – km 163.5, 34149 Basovizza, Italy
| | - Marie-Christine Zdora
- Department of Biomedical Engineering, ETH Zürich, Gloriastrasse 35, 8092 Zürich, Switzerland
- Paul Scherrer Institut, Forschungsstrasse 111, 5232 Villigen PSI, Switzerland
| | - Fabio De Marco
- Department of Physics, University of Trieste, Via Valerio 2, 34127 Trieste, Italy
- Elettra-Sincrotrone Trieste, Strada Statale 14 – km 163.5, 34149 Basovizza, Italy
| | - Christos Bikis
- Psychiatric Hospital in Winterthur, Wieshofstrasse 102, 8408 Winterthur, Switzerland
- Biomaterials Science Center, Department of Biomedical Engineering, University of Basel, Hegenheimermattweg 167 B/C, 4123 Allschwil, Switzerland
| | - Margie Olbinado
- Paul Scherrer Institut, Forschungsstrasse 111, 5232 Villigen PSI, Switzerland
| | - Alexander Rack
- ESRF – The European Synchrotron, CS40220, CEDEX 09, 38043 Grenoble, France
| | - Bert Müller
- Biomaterials Science Center, Department of Biomedical Engineering, University of Basel, Hegenheimermattweg 167 B/C, 4123 Allschwil, Switzerland
| | - Pierre Thibault
- Department of Physics, University of Trieste, Via Valerio 2, 34127 Trieste, Italy
- Elettra-Sincrotrone Trieste, Strada Statale 14 – km 163.5, 34149 Basovizza, Italy
| | - Irene Zanette
- Elettra-Sincrotrone Trieste, Strada Statale 14 – km 163.5, 34149 Basovizza, Italy
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3
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Blanke N, Chang S, Novoseltseva A, Wang H, Boas DA, Bigio IJ. Multiscale label-free imaging of myelin in human brain tissue with polarization-sensitive optical coherence tomography and birefringence microscopy. BIOMEDICAL OPTICS EXPRESS 2023; 14:5946-5964. [PMID: 38021128 PMCID: PMC10659784 DOI: 10.1364/boe.499354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/03/2023] [Accepted: 09/06/2023] [Indexed: 12/01/2023]
Abstract
The combination of polarization-sensitive optical coherence tomography (PS-OCT) and birefringence microscopy (BRM) enables multiscale assessment of myelinated axons in postmortem brain tissue, and these tools are promising for the study of brain connectivity and organization. We demonstrate label-free imaging of myelin structure across the mesoscopic and microscopic spatial scales by performing serial-sectioning PS-OCT of a block of human brain tissue and periodically sampling thin sections for high-resolution imaging with BRM. In co-registered birefringence parameter maps, we observe good correspondence and demonstrate that BRM enables detailed validation of myelin (hence, axonal) organization, thus complementing the volumetric information content of PS-OCT.
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Affiliation(s)
- Nathan Blanke
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
| | - Shuaibin Chang
- Department of Electrical & Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
| | - Anna Novoseltseva
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
| | - Hui Wang
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, USA
| | - David A. Boas
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
| | - Irving J. Bigio
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
- Department of Electrical & Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
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4
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Makris N, Rushmore R, Kaiser J, Albaugh M, Kubicki M, Rathi Y, Zhang F, O’Donnell LJ, Yeterian E, Caviness VS, Kennedy DN. A Proposed Human Structural Brain Connectivity Matrix in the Center for Morphometric Analysis Harvard-Oxford Atlas Framework: A Historical Perspective and Future Direction for Enhancing the Precision of Human Structural Connectivity with a Novel Neuroanatomical Typology. Dev Neurosci 2023; 45:161-180. [PMID: 36977393 PMCID: PMC10526721 DOI: 10.1159/000530358] [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: 11/23/2022] [Accepted: 03/02/2023] [Indexed: 03/30/2023] Open
Abstract
A complete structural definition of the human nervous system must include delineation of its wiring diagram (e.g., Swanson LW. Brain architecture: understanding the basic plan, 2012). The complete formulation of the human brain circuit diagram (BCD [Front Neuroanat. 2020;14:18]) has been hampered by an inability to determine connections in their entirety (i.e., not only pathway stems but also origins and terminations). From a structural point of view, a neuroanatomic formulation of the BCD should include the origins and terminations of each fiber tract as well as the topographic course of the fiber tract in three dimensions. Classic neuroanatomical studies have provided trajectory information for pathway stems and their speculative origins and terminations [Dejerine J and Dejerine-Klumpke A. Anatomie des Centres Nerveux, 1901; Dejerine J and Dejerine-Klumpke A. Anatomie des Centres Nerveux: Méthodes générales d'étude-embryologie-histogénèse et histologie. Anatomie du cerveau, 1895; Ludwig E and Klingler J. Atlas cerebri humani, 1956; Makris N. Delineation of human association fiber pathways using histologic and magnetic resonance methodologies; 1999; Neuroimage. 1999 Jan;9(1):18-45]. We have summarized these studies previously [Neuroimage. 1999 Jan;9(1):18-45] and present them here in a macroscale-level human cerebral structural connectivity matrix. A matrix in the present context is an organizational construct that embodies anatomical knowledge about cortical areas and their connections. This is represented in relation to parcellation units according to the Harvard-Oxford Atlas neuroanatomical framework established by the Center for Morphometric Analysis at Massachusetts General Hospital in the early 2000s, which is based on the MRI volumetrics paradigm of Dr. Verne Caviness and colleagues [Brain Dev. 1999 Jul;21(5):289-95]. This is a classic connectional matrix based mainly on data predating the advent of DTI tractography, which we refer to as the "pre-DTI era" human structural connectivity matrix. In addition, we present representative examples that incorporate validated structural connectivity information from nonhuman primates and more recent information on human structural connectivity emerging from DTI tractography studies. We refer to this as the "DTI era" human structural connectivity matrix. This newer matrix represents a work in progress and is necessarily incomplete due to the lack of validated human connectivity findings on origins and terminations as well as pathway stems. Importantly, we use a neuroanatomical typology to characterize different types of connections in the human brain, which is critical for organizing the matrices and the prospective database. Although substantial in detail, the present matrices may be assumed to be only partially complete because the sources of data relating to human fiber system organization are limited largely to inferences from gross dissections of anatomic specimens or extrapolations of pathway tracing information from nonhuman primate experiments [Front Neuroanat. 2020;14:18, Front Neuroanat. 2022;16:1035420, and Brain Imaging Behav. 2021;15(3):1589-1621]. These matrices, which embody a systematic description of cerebral connectivity, can be used in cognitive and clinical studies in neuroscience and, importantly, to guide research efforts for further elucidating, validating, and completing the human BCD [Front Neuroanat. 2020;14:18].
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Affiliation(s)
- Nikos Makris
- Center for Morphometric Analysis, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Psychiatry Neuroimaging Laboratory, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Richard Rushmore
- Center for Morphometric Analysis, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Psychiatry Neuroimaging Laboratory, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Jonathan Kaiser
- Center for Morphometric Analysis, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew Albaugh
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Marek Kubicki
- Center for Morphometric Analysis, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Psychiatry Neuroimaging Laboratory, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Yogesh Rathi
- Center for Morphometric Analysis, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Psychiatry Neuroimaging Laboratory, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Lauren J. O’Donnell
- Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward Yeterian
- Center for Morphometric Analysis, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Colby College, Waterville, ME, USA
| | - Verne S. Caviness
- Center for Morphometric Analysis, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - David N. Kennedy
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
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5
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Cury J, Smets H, Bouzin C, Doguet P, Vanhoestenberghe A, Delbeke J, Tahry RE, Nonclercq A, Gorza SP. Optical birefringence changes in myelinated and unmyelinated nerves: A comparative study. JOURNAL OF BIOPHOTONICS 2022; 15:e202200028. [PMID: 35703916 DOI: 10.1002/jbio.202200028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/30/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
The measurement of birefringence variations related to nerve activity is a promising label-free technique for sensing compound neural action potentials (CNAPs). While widely applied in crustaceans, little is known about its efficiency on mammal peripheral nerves. In this work, birefringence recordings to detect CNAPs, and Stokes parameters measurements were performed in rat and lobster nerves. While single-trial detection of nerve activity in crustaceans was achieved successfully, no optical signal was detected in rats, even after extensive signal filtering and averaging. The Stokes parameters showed that a high degree of polarization of light is maintained in lobster sample, whereas an almost complete light depolarization occurs in rat nerve. Our results indicate that depolarization itself is not sufficient to explain the absence of birefringence signals in rats. We hypothesize that this absence comes from the myelin sheets, which constraint the birefringence changes to only take place at the nodes of Ranvier.
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Affiliation(s)
- Joaquín Cury
- Opera-photonics, Université Libre de Bruxelles, Brussels, Belgium
- Bio-, Electro- and Mechanical Systems (BEAMS), Université Libre de Bruxelles, Brussels, Belgium
| | - Hugo Smets
- Bio-, Electro- and Mechanical Systems (BEAMS), Université Libre de Bruxelles, Brussels, Belgium
| | - Caroline Bouzin
- Université Catholique de Louvain, Institut de Recherche Expérimentale et Clinique (IREC), IREC Imaging Platform (2IP), Brussels, Belgium
| | | | - Anne Vanhoestenberghe
- Aspire Centre for Rehabilitation Engineering and Assistive Technology, University College of London, London, UK
| | - Jean Delbeke
- Department of Neurology, Institute of Neurosciences (IONS), Université Catholique de Louvain, Cliniques Universitaires Saint Luc, Brussels, Belgium
| | - Riëm El Tahry
- Department of Neurology, Institute of Neurosciences (IONS), Université Catholique de Louvain, Cliniques Universitaires Saint Luc, Brussels, Belgium
| | - Antoine Nonclercq
- Bio-, Electro- and Mechanical Systems (BEAMS), Université Libre de Bruxelles, Brussels, Belgium
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6
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Dubreuil M, Tissier F, Rivet S, Grand YL. Linear diattenuation imaging of biological tissues with near infrared Mueller scanning microscopy. BIOMEDICAL OPTICS EXPRESS 2021; 12:41-54. [PMID: 33659070 PMCID: PMC7899510 DOI: 10.1364/boe.408354] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/14/2020] [Accepted: 11/03/2020] [Indexed: 05/31/2023]
Abstract
Among the multitude of optical polarization contrasts that can be observed in complex biological specimens, linear diattenuation (LD) imaging has received little attention. It is indeed challenging to image LD with basic polarizing microscopes because it is often relatively small in comparison with linear retardance (LR). In addition, interpretation of LD images is not straightforward when experiments are conducted in the visible range because LD can be produced by both dichroism and anisotropic scattering. Mueller polarimetry is a powerful implementation of polarization sensing able to differentiate and measure the anisotropies of specimens. In this article, near infrared transmission Mueller scanning microscopy is used to image LD in thin biological specimen sections made of various proteins with unprecedented resolution and sensitivity. The near infrared spectral range makes it possible to lower the contribution of dichroism to the total linear diattenuation in order to highlight anisotropic scattering. Pixel-by-pixel comparison of LD images with LR and multiphoton images demonstrates that LD is produced by under-resolved structures that are not revealed by other means, notably within the sarcomere of skeletal muscles. LD microscopy appears as a powerful tool to provide new insights into the macro-molecular organization of biological specimens at the sub-microscopic scale without labelling.
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Affiliation(s)
- Matthieu Dubreuil
- Université de Bretagne Occidentale, Laboratoire d’Optique et de Magnétisme OPTIMAG EA 938, IBSAM, 6 Avenue Le Gorgeu, Brest 29238, France
- These authors contributed equally to this work
| | - Florine Tissier
- Université de Bretagne Occidentale, Laboratoire Optimisation des Régulations Physiologiques ORPHY EA 4324, IBSAM, 6 Avenue Le Gorgeu, Brest 29238, France
| | - Sylvain Rivet
- Université de Bretagne Occidentale, Laboratoire d’Optique et de Magnétisme OPTIMAG EA 938, IBSAM, 6 Avenue Le Gorgeu, Brest 29238, France
- These authors contributed equally to this work
| | - Yann Le Grand
- Université de Bretagne Occidentale, Laboratoire d’Optique et de Magnétisme OPTIMAG EA 938, IBSAM, 6 Avenue Le Gorgeu, Brest 29238, France
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7
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Schucht P, Lee HR, Mezouar HM, Hewer E, Raabe A, Murek M, Zubak I, Goldberg J, Kovari E, Pierangelo A, Novikova T. Visualization of White Matter Fiber Tracts of Brain Tissue Sections With Wide-Field Imaging Mueller Polarimetry. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:4376-4382. [PMID: 32822294 DOI: 10.1109/tmi.2020.3018439] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Identification of white matter fiber tracts of the brain is crucial for delineating the tumor border during neurosurgery. A custom-built Mueller polarimeter was used in reflection configuration for the wide-field imaging of thick sections of fixed human brain and fresh calf brain. The maps of the azimuth of the fast optical axis of linear birefringent medium reconstructed from the experimental Mueller matrix images of the specimen by applying a non-linear data compression algorithm showed a strong correlation with the silver-stained sample histology image, which is the gold standard for ex-vivo brain fiber tract visualization. The polarimetric maps of fresh calf brain tissue demonstrated the same trends in the depolarization, the scalar retardance and the azimuth of the fast optical axis as seen in fixed human brain tissue. Thus, label-free imaging Mueller polarimetry shows promise as an efficient intra-operative modality for the visualization of healthy brain white matter fiber tracts, which could improve the accuracy of tumor border detection and, ultimately, patient outcomes.
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8
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Menzel M, Pereira SF. Coherent Fourier scatterometry reveals nerve fiber crossings in the brain. BIOMEDICAL OPTICS EXPRESS 2020; 11:4735-4758. [PMID: 32923075 PMCID: PMC7449706 DOI: 10.1364/boe.397604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 06/19/2020] [Accepted: 06/22/2020] [Indexed: 05/02/2023]
Abstract
Previous simulation studies by Menzel et al. [Phys. Rev. X10, 021002 (2020)] have shown that scattering patterns of light transmitted through artificial nerve fiber constellations contain valuable information about the tissue substructure such as the individual fiber orientations in regions with crossing nerve fibers. Here, we present a method that measures these scattering patterns in monkey and human brain tissue using coherent Fourier scatterometry with normally incident light. By transmitting a non-focused laser beam (λ = 633 nm) through unstained histological brain sections, we measure the scattering patterns for small tissue regions (with diameters of 0.1-1 mm), and show that they are in accordance with the simulated scattering patterns. We reveal the individual fiber orientations for up to three crossing nerve fiber bundles, with crossing angles down to 25°.
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Affiliation(s)
- Miriam Menzel
- Institute of Neuroscience and Medicine
(INM-1), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52425
Jülich, Germany
| | - Silvania F. Pereira
- Optics Research Group, Department of
Imaging Physics, Faculty of Applied Sciences, Delft University of
Technology, Lorentzweg 1, 2628 CJ Delft, Netherlands
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9
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Guo SM, Yeh LH, Folkesson J, Ivanov IE, Krishnan AP, Keefe MG, Hashemi E, Shin D, Chhun BB, Cho NH, Leonetti MD, Han MH, Nowakowski TJ, Mehta SB. Revealing architectural order with quantitative label-free imaging and deep learning. eLife 2020; 9:e55502. [PMID: 32716843 PMCID: PMC7431134 DOI: 10.7554/elife.55502] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 07/24/2020] [Indexed: 01/21/2023] Open
Abstract
We report quantitative label-free imaging with phase and polarization (QLIPP) for simultaneous measurement of density, anisotropy, and orientation of structures in unlabeled live cells and tissue slices. We combine QLIPP with deep neural networks to predict fluorescence images of diverse cell and tissue structures. QLIPP images reveal anatomical regions and axon tract orientation in prenatal human brain tissue sections that are not visible using brightfield imaging. We report a variant of U-Net architecture, multi-channel 2.5D U-Net, for computationally efficient prediction of fluorescence images in three dimensions and over large fields of view. Further, we develop data normalization methods for accurate prediction of myelin distribution over large brain regions. We show that experimental defects in labeling the human tissue can be rescued with quantitative label-free imaging and neural network model. We anticipate that the proposed method will enable new studies of architectural order at spatial scales ranging from organelles to tissue.
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Affiliation(s)
| | - Li-Hao Yeh
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | | | | | | | - Matthew G Keefe
- Department of Anatomy, University of California, San FranciscoSan FranciscoUnited States
| | - Ezzat Hashemi
- Department of Neurology, Stanford UniversityStanfordUnited States
| | - David Shin
- Department of Anatomy, University of California, San FranciscoSan FranciscoUnited States
| | | | - Nathan H Cho
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | | | - May H Han
- Department of Neurology, Stanford UniversityStanfordUnited States
| | - Tomasz J Nowakowski
- Department of Anatomy, University of California, San FranciscoSan FranciscoUnited States
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10
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Rushmore RJ, Bouix S, Kubicki M, Rathi Y, Yeterian EH, Makris N. How Human Is Human Connectional Neuroanatomy? Front Neuroanat 2020; 14:18. [PMID: 32351367 PMCID: PMC7176274 DOI: 10.3389/fnana.2020.00018] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 03/23/2020] [Indexed: 01/16/2023] Open
Abstract
The structure of the human brain has been studied extensively. Despite all the knowledge accrued, direct information about connections, from origin to termination, in the human brain is extremely limited. Yet there is a widespread misperception that human connectional neuroanatomy is well-established and validated. In this article, we consider what is known directly about human structural and connectional neuroanatomy. Information on neuroanatomical connections in the human brain is derived largely from studies in non-human experimental models in which the entire connectional pathway, including origins, course, and terminations, is directly visualized. Techniques to examine structural connectivity in the human brain are progressing rapidly; nevertheless, our present understanding of such connectivity is limited largely to data derived from homological comparisons, particularly with non-human primates. We take the position that an in-depth and more precise understanding of human connectional neuroanatomy will be obtained by a systematic application of this homological approach.
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Affiliation(s)
- R Jarrett Rushmore
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United States.,Psychiatric Neuroimaging Laboratory, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.,Center for Morphometric Analysis, Department of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Sylvain Bouix
- Psychiatric Neuroimaging Laboratory, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Marek Kubicki
- Psychiatric Neuroimaging Laboratory, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.,Center for Morphometric Analysis, Department of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Yogesh Rathi
- Psychiatric Neuroimaging Laboratory, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.,Center for Morphometric Analysis, Department of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Edward H Yeterian
- Psychiatric Neuroimaging Laboratory, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.,Center for Morphometric Analysis, Department of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,Department of Psychology, Colby College, Waterville, ME, United States
| | - Nikos Makris
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United States.,Psychiatric Neuroimaging Laboratory, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.,Center for Morphometric Analysis, Department of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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11
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Rivet S, Dubreuil M, Bradu A, Le Grand Y. Fast spectrally encoded Mueller optical scanning microscopy. Sci Rep 2019; 9:3972. [PMID: 30850680 PMCID: PMC6408429 DOI: 10.1038/s41598-019-40467-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 02/13/2019] [Indexed: 01/19/2023] Open
Abstract
Mueller microscopes enable imaging of the optical anisotropic properties of biological or non-biological samples, in phase and amplitude, at sub-micrometre scale. However, the development of Mueller microscopes poses an instrumental challenge: the production of polarimetric parameters must be sufficiently quick to ensure fast imaging, so that the evolution of these parameters can be visualised in real-time, allowing the operator to adjust the microscope while constantly monitoring them. In this report, a full Mueller scanning microscope based on spectral encoding of polarization is presented. The spectrum, collected every 10 μs for each position of the optical beam on the specimen, incorporates all the information needed to produce the full Mueller matrix, which allows simultaneous display of all the polarimetric parameters, at the unequalled rate of 1.5 Hz (for an image of 256 × 256 pixels). The design of the optical blocks allows for the real-time display of linear birefringent images which serve as guidance for the operator. In addition, the instrument has the capability to easily switch its functionality from a Mueller to a Second Harmonic Generation (SHG) microscope, providing a pixel-to-pixel matching of the images produced by the two modalities. The device performance is illustrated by imaging various unstained biological specimens.
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Affiliation(s)
- Sylvain Rivet
- Laboratoire d'Optique et de Magnétisme, Université de Bretagne Occidentale, IBSAM, 6 avenue Le Gorgeu, 29238, Brest, France.
| | - Matthieu Dubreuil
- Laboratoire d'Optique et de Magnétisme, Université de Bretagne Occidentale, IBSAM, 6 avenue Le Gorgeu, 29238, Brest, France
| | - Adrian Bradu
- Applied Optics Group, School of Physical Sciences, University of Kent, Canterbury, CT2 7NH, UK
| | - Yann Le Grand
- Laboratoire d'Optique et de Magnétisme, Université de Bretagne Occidentale, IBSAM, 6 avenue Le Gorgeu, 29238, Brest, France
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Diattenuation Imaging reveals different brain tissue properties. Sci Rep 2019; 9:1939. [PMID: 30760789 PMCID: PMC6374401 DOI: 10.1038/s41598-019-38506-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 12/27/2018] [Indexed: 12/14/2022] Open
Abstract
When transmitting polarised light through histological brain sections, different types of diattenuation (polarisation-dependent attenuation of light) can be observed: In some brain regions, the light is minimally attenuated when it is polarised parallel to the nerve fibres (referred to as D+), in others, it is maximally attenuated (referred to as D−). The underlying mechanisms of these effects and their relationship to tissue properties were so far unknown. Here, we demonstrate in experimental studies that diattenuation of both types D+ and D− can be observed in brain tissue samples from different species (rodent, monkey, and human) and that the strength and type of diattenuation depend on the nerve fibre orientations. By combining finite-difference time-domain simulations and analytical modelling, we explain the observed diattenuation effects and show that they are caused both by anisotropic absorption (dichroism) and by anisotropic light scattering. Our studies demonstrate that the diattenuation signal depends not only on the nerve fibre orientations but also on other brain tissue properties like tissue homogeneity, fibre size, and myelin sheath thickness. This allows to use the diattenuation signal to distinguish between brain regions with different tissue properties and establishes Diattenuation Imaging as a valuable imaging technique.
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Song L, Feng Y, Guo X, Shen Y, Wu D, Wu Z, Zhou C, Zhu L, Gao S, Liu W, Zhang X, Li Z. Ultrafast polarization bio-imaging based on coherent detection and time-stretch techniques. BIOMEDICAL OPTICS EXPRESS 2018; 9:6556-6568. [PMID: 31065449 PMCID: PMC6490988 DOI: 10.1364/boe.9.006556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 11/22/2018] [Accepted: 11/23/2018] [Indexed: 06/09/2023]
Abstract
Optical polarization imaging has played an important role in many biological and biomedical applications, as it provides a label-free and non-invasive detection scheme to reveal the polarization information of optical rotation, birefringence, and photoelasticity distribution inherent in biological samples. However, the imaging speeds of the previously demonstrated polarization imaging techniques were often limited by the slow frame rates of the arrayed imaging detectors, which usually run at frame rates of several hundred hertz. By combining the optical coherent detection of orthogonal polarizations and the optical time-stretch imaging technique, we achieved ultrafast polarization bio-imaging at an extremely fast record line scanning rate up to 100 MHz without averaging. We experimentally demonstrated the superior performance of our method by imaging three slices of different kinds of biological samples with the retrieved Jones matrix and polarization-sensitive information including birefringence and diattenuation. The proposed system in this paper may find potential applications for ultrafast polarization dynamics in living samples or some other advanced biomedical research.
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Affiliation(s)
- Lu Song
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Yuanhua Feng
- Department of Electronic Engineering, College of Information Science and Technology, Jinan University, Guangzhou 510632, China
| | - Xiaojie Guo
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Yuecheng Shen
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
| | - Daixuan Wu
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
| | - Zhenhua Wu
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Congran Zhou
- Department of Pharmacology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Linyan Zhu
- Department of Pharmacology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Shecheng Gao
- Department of Electronic Engineering, College of Information Science and Technology, Jinan University, Guangzhou 510632, China
| | - Weiping Liu
- Department of Electronic Engineering, College of Information Science and Technology, Jinan University, Guangzhou 510632, China
| | - Xuming Zhang
- Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, China
| | - Zhaohui Li
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
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