Scientific Reports · 2020 · 69 citations · 56 references
MedicineOncologyPathologyBiomedical ImagingHistologyHistopathologyHistological StainingLight MicroscopyMedical ImagingStaining TechniquesTumor HistopathologyTumor ImagingAutofluorescenceCancer ImagingContrast EnhancementHistochemical MicroscopyHistological StructureLight-sheet MicroscopyTissue AutofluorescenceTissue Histology Imaging
Here, we describe a novel approach that allows pathologists to three-dimensionally analyse malignant tissues, including the tumour-host tissue interface. Our visualization technique utilizes a combination of ultrafast chemical tissue clearing and light-sheet microscopy to obtain virtual slices and 3D reconstructions of up to multiple centimetre sized tumour resectates. For the clearing of tumours we propose a preparation technique comprising three steps: (a) Fixation and enhancement of tissue autofluorescence with formalin/5-sulfosalicylic acid. (b) Ultrafast active chemical dehydration with 2,2-dimethoxypropane and (c) refractive index matching with dibenzyl ether at up to 56 °C. After clearing, the tumour resectates are imaged. The images are computationally post-processed for contrast enhancement and artefact removal and then 3D reconstructed. Importantly, the sequence a-c is fully reversible, allowing the morphological correlation of one and the same histological structures, once visualized with our novel technique and once visualized by standard H&E- and IHC-staining. After reverting the clearing procedure followed by standard H&E processing, the hallmarks of ductal carcinoma in situ (DCIS) found in the cleared samples could be successfully correlated with the corresponding structures present in H&E and IHC staining. Since the imaging of several thousands of optical sections is a fast process, it is possible to analyse a larger part of the tumour than by mechanical slicing. As this also adds further information about the 3D structure of malignancies, we expect that our technology will become a valuable addition for histological diagnosis in clinical pathology.
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Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2019 · 21K citations · Full text
Adaptive histogram equalization and its variations
Stephen M. Pizer, E. Philip Amburn, John D. Austin et al. · Computer Vision Graphics and Image Processing · 1987 · 3.9K citations
Structural and molecular interrogation of intact biological systems
Kwanghun Chung, Jenelle L. Wallace, Sung‐Yon Kim et al. · Nature · 2013 · 2.1K citations · Full text
Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis
Etsuo A. Susaki, Kazuki Tainaka, Dimitri Perrin et al. · Cell · 2014 · 1.4K citations · Full text