Autofluorescence-based tissue characterization enhances clinical prospects of light-sheet-microscopy.

Autor: Jacob AM; Institute of Molecular Medicine and Experimental Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Lindemann AF; Institute of Molecular Medicine and Experimental Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Wagenpfeil J; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Geiger S; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Layer YC; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Salam B; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Panahabadi S; Clinic for Diagnostic and Interventional Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Kurt D; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Wintergerst MWM; Department of Ophthalmology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Schildberg FA; Clinic for Orthopedics and Trauma Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Kuetting D; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Attenberger UI; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna and General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria., Abdullah Z; Institute of Molecular Medicine and Experimental Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany., Böhner AMC; Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. alexander.boehner@ukbonn.de.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Aug 04; Vol. 14 (1), pp. 18033. Date of Electronic Publication: 2024 Aug 04.
DOI: 10.1038/s41598-024-67366-2
Abstrakt: Light sheet fluorescence microscopy (LSFM) is a transformative imaging method that enables the visualization of non-dissected specimen in real-time 3D. Optical clearing of tissues is essential for LSFM, typically employing toxic solvents. Here, we test the applicability of a non-hazardous alternative, ethyl cinnamate (ECi). We comprehensively characterized autofluorescence (AF) spectra in diverse murine tissues-ocular globe, knee, and liver-employing LSFM under various excitation wavelengths (405-785 nm) to test the feasibility of unstained samples for diagnostic purposes, in particular regarding percutaneous biopsies, as they constitute to most harvested type of tissue sample in clinical routine. Ocular globe structures were best discerned with 640 nm excitation. Knee tissue showed complex variation in AF spectra variation influenced by tissue depth and structure. Liver exhibited a unique AF pattern, likely linked to vasculature. Hepatic tissue samples were used to demonstrate the compatibility of our protocol for antibody staining. Furthermore, we employed machine learning to augment raw images and segment liver structures based on AF spectra. Radiologists rated representative samples transferred to the clinical assessment software. Learning-generated images scored highest in quality. Additionally, we investigated an actual murine biopsy. Our study pioneers the application of AF spectra for tissue characterization and diagnostic potential of optically cleared unstained percutaneous biopsies, contributing to the clinical translation of LSFM.
(© 2024. The Author(s).)
Databáze: MEDLINE
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