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Magnain C, Augustinack JC, Konukoglu E, Frosch MP, Sakadžić S, Varjabedian A, Garcia N, Wedeen VJ, Boas DA, Fischl B. Optical coherence tomography visualizes neurons in human entorhinal cortex. NEUROPHOTONICS 2015; 2:015004. [PMID: 25741528 PMCID: PMC4346095 DOI: 10.1117/1.nph.2.1.015004] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
The cytoarchitecture of the human brain is of great interest in diverse fields: neuroanatomy, neurology, neuroscience, and neuropathology. Traditional histology is a method that has been historically used to assess cell and fiber content in the ex vivo human brain. However, this technique suffers from significant distortions. We used a previously demonstrated optical coherence microscopy technique to image individual neurons in several square millimeters of en-face tissue blocks from layer II of the human entorhinal cortex, over 50 µm in depth. The same slices were then sectioned and stained for Nissl substance. We registered the optical coherence tomography (OCT) images with the corresponding Nissl stained slices using a nonlinear transformation. The neurons were then segmented in both images and we quantified the overlap. We show that OCT images contain information about neurons that is comparable to what can be obtained from Nissl staining, and thus can be used to assess the cytoarchitecture of the ex vivo human brain with minimal distortion. With the future integration of a vibratome into the OCT imaging rig, this technique can be scaled up to obtain undistorted volumetric data of centimeter cube tissue blocks in the near term, and entire human hemispheres in the future.
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Affiliation(s)
- Caroline Magnain
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
- Address all correspondence to: Caroline Magnain, E-mail:
| | - Jean C. Augustinack
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
| | - Ender Konukoglu
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
| | - Matthew P. Frosch
- Massachusetts General Hospital, Pathology Service, C.S. Kubik Laboratory for Neuropathology, Warren Building 225, 55 Fruit Street, Boston, Massachusetts 02115, United States
| | - Sava Sakadžić
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
| | - Ani Varjabedian
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
| | - Nathalie Garcia
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
| | - Van J. Wedeen
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
| | - David A. Boas
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
| | - Bruce Fischl
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School, Department of Radiology, 149 Thirteen Street, Charlestown, Massachusetts 02129, United States
- MIT, Computer Science and AI Laboratory, the Stata Center, Building 32, 32 Vassar Street, Cambridge, Massachusetts 02139, United States
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Almoro PF, Pedrini G, Anand A, Osten W, Hanson SG. Angular displacement and deformation analyses using a speckle-based wavefront sensor. APPLIED OPTICS 2009; 48:932-940. [PMID: 19209206 DOI: 10.1364/ao.48.000932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Wavefronts incident on a random phase plate are reconstructed via phase retrieval utilizing axially displaced speckle intensity measurements and the wave propagation equation. Retrieved phases and phase subtraction facilitate the investigations of wavefronts from test objects before and after undergoing a small rotation or deformation without sign ambiguity. Angular displacement (Deltatheta) between incident planar wavefronts is determined from the light source vacuum wavelength (lambda) divided by the fringe spacing (Lambda). Fourier analysis of the wavefront phase difference yields a peak frequency that is inversely proportional to Lambda, and the sign gives the direction of rotation. Numerical simulations confirm the experimental results. In the experiments, the smallest Deltatheta measured is 0.031 degrees . The technique also permits deformation analysis of a reflecting test object under thermal loading. The technique offers simple, high resolution, noncontact, and whole field evaluation of three-dimensional objects before and after undergoing rotation or deformation.
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Affiliation(s)
- Percival F Almoro
- DTU Fotonik, Department of Photonics Engineering, Danish Technical University, Roskilde 4000, Denmark.
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