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Rapid and Non-Destructive Histological Imaging of Large Clinical Specimens with Translational and Advanced Optical Microscopy.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Rapid and Non-Destructive Histological Imaging of Large Clinical Specimens with Translational and Advanced Optical Microscopy./
作者:
Zhang, Yan.
面頁冊數:
1 online resource (156 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Contained By:
Dissertations Abstracts International84-05B.
標題:
Prostate. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29704090click for full text (PQDT)
ISBN:
9798352976555
Rapid and Non-Destructive Histological Imaging of Large Clinical Specimens with Translational and Advanced Optical Microscopy.
Zhang, Yan.
Rapid and Non-Destructive Histological Imaging of Large Clinical Specimens with Translational and Advanced Optical Microscopy.
- 1 online resource (156 pages)
Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Thesis (Ph.D.)--Hong Kong University of Science and Technology (Hong Kong), 2022.
Includes bibliographical references
Histopathology remains the gold standard for surgical margin assessment. However,routine pathological examination based on formalin-fixed and paraffin-embedded tissues islaborious and time-consuming, failing to guide surgeons intraoperatively. Thus, rapid and high-resolutionimaging with minimal tissue preparation has long been a challenging and yet captivatingmedical pursuit. In this thesis, we propose several imaging techniques that enable rapid, label-free,and non-destructive imaging of freshly-excised and unprocessed tissues, holding great promise tostreamline the current practice of surgical pathology. Specifically, computational high-throughputautofluorescence microscopy by pattern illumination (CHAMP) can bypass the resolutionconstraint set by the system numerical aperture with the assistance of computational microscopy,achieving high-throughput and label-free imaging of thick and unprocessed tissues at an imagingspeed of 1 mm2/s with 1.1-μm lateral resolution. In addition, microscopy with ultraviolet single-planeillumination (MUSI) further extends the system depth-of-field to ~200 μm with an improvedaxial resolution of ~3 μm, achieving highly encouraging results in the diagnosis of differentsubtypes of human lung adenocarcinomas. Furthermore, with the combination of block-faceimaging and serial microtome sectioning, the proposed microtomy-assisted autofluorescencetomography (MATE) enables label-free three-dimensional (3D) imaging of paraffin-embeddedwhole organs at an acquisition speed of 0.25 cm3/s with a voxel resolution of 1.2 x 1.2 x 10 μm3,facilitating comprehensive pathological analysis to study the disease heterogeneity in 3D. Finally, wide-field fluorescence-based histological imaging with High-and-Low-frequency microscopy(HiLo) can reveal highly-specific cellular contents at an unprecedented high acquisition speed of5 cm2/min, providing sufficient sampling of large-scale resection margins with a surface area ofdozens of square centimeters. In conclusion, in this thesis, we have proposed four promising andtransformative imaging techniques (i.e., CHAMP, MUSI, MATE, and HiLo) to revolutionize thecurrent practice of surgical pathology, greatly facilitating the clinical translations of modern opticalmicroscopy for biomedical imaging applications.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798352976555Subjects--Topical Terms:
794571
Prostate.
Index Terms--Genre/Form:
542853
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Histopathology remains the gold standard for surgical margin assessment. However,routine pathological examination based on formalin-fixed and paraffin-embedded tissues islaborious and time-consuming, failing to guide surgeons intraoperatively. Thus, rapid and high-resolutionimaging with minimal tissue preparation has long been a challenging and yet captivatingmedical pursuit. In this thesis, we propose several imaging techniques that enable rapid, label-free,and non-destructive imaging of freshly-excised and unprocessed tissues, holding great promise tostreamline the current practice of surgical pathology. Specifically, computational high-throughputautofluorescence microscopy by pattern illumination (CHAMP) can bypass the resolutionconstraint set by the system numerical aperture with the assistance of computational microscopy,achieving high-throughput and label-free imaging of thick and unprocessed tissues at an imagingspeed of 1 mm2/s with 1.1-μm lateral resolution. In addition, microscopy with ultraviolet single-planeillumination (MUSI) further extends the system depth-of-field to ~200 μm with an improvedaxial resolution of ~3 μm, achieving highly encouraging results in the diagnosis of differentsubtypes of human lung adenocarcinomas. Furthermore, with the combination of block-faceimaging and serial microtome sectioning, the proposed microtomy-assisted autofluorescencetomography (MATE) enables label-free three-dimensional (3D) imaging of paraffin-embeddedwhole organs at an acquisition speed of 0.25 cm3/s with a voxel resolution of 1.2 x 1.2 x 10 μm3,facilitating comprehensive pathological analysis to study the disease heterogeneity in 3D. Finally, wide-field fluorescence-based histological imaging with High-and-Low-frequency microscopy(HiLo) can reveal highly-specific cellular contents at an unprecedented high acquisition speed of5 cm2/min, providing sufficient sampling of large-scale resection margins with a surface area ofdozens of square centimeters. In conclusion, in this thesis, we have proposed four promising andtransformative imaging techniques (i.e., CHAMP, MUSI, MATE, and HiLo) to revolutionize thecurrent practice of surgical pathology, greatly facilitating the clinical translations of modern opticalmicroscopy for biomedical imaging applications.
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