Presentation
13 March 2024 Deep insights from 3D FLIM: metabolic FLIM analysis taken to the 3rd dimension
Author Affiliations +
Abstract
Fluorescence lifetime imaging (FLIM) is a versatile tool, even detecting cancers without staining agent from NADH and FAD autofluorescence. While confocal techniques provide wonderful images of 2D structures, they risk neglecting crucial details in the out-of-image-plane dimension. Thorough understanding of three-dimensional samples is obtained through “Z-stack measurements”, coupled with appropriate functional sectioning capabilities. Here, we demonstrate the combination of Becker&Hickl’s advanced SPCimage NG data analysis suite with an easy-to-follow ImageJ/Fiji 3D rendering workflow to generate volume FLIM images of real samples. Combined with Becker&Hickl’s renowned lifetime measurement precision 3D FLIM elevates metabolic imaging and deep-tissue work.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lukas Braun, Julius Heitz, Taravat Saeb-Gilani, Hauke Studier, and Wolfgang Becker "Deep insights from 3D FLIM: metabolic FLIM analysis taken to the 3rd dimension", Proc. SPIE PC12847, Multiphoton Microscopy in the Biomedical Sciences XXIV, PC128470X (13 March 2024); https://doi.org/10.1117/12.3005165
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KEYWORDS
Fluorescence lifetime imaging

3D image processing

3D metrology

Data analysis

Autofluorescence

Cancer

Cancer detection

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