Presentation + Paper
2 March 2022 Multispectral time-resolved fluorescence microscopy based on compressive acquisitions
Author Affiliations +
Abstract
Multidimensional fluorescence microscopy techniques produce dataset rich of information (space, emission spectrum and lifetime) to investigate photophysical processes in biological samples. To acquire a 4D dataset, one promising microscope design is based on the single-pixel camera scheme and on compressive sensing acquisitions, thanks to which the measurement time can be reduced. Within this framework, a computational step is required to move from the acquisition space to the pixel space and, subsequently, the analysis can be carried out exploiting the high dimensionality. In this work we present an experimental system and a fast-fit method that can produce a map of fluorophore concentrations in parallel to the measurement routine.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alberto Ghezzi, Andrea Farina, Gianluca Valentini, Andrea Bassi, and Cosimo D'Andrea "Multispectral time-resolved fluorescence microscopy based on compressive acquisitions", Proc. SPIE 11966, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX, 1196602 (2 March 2022); https://doi.org/10.1117/12.2607176
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KEYWORDS
Luminescence

Compressed sensing

Microscopy

Sensors

Digital micromirror devices

Reconstruction algorithms

Cameras

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