Presentation + Paper
16 May 2023 Compressive time-resolved multispectral fluorescence microscopy with single-pixel camera
Author Affiliations +
Abstract
Time-resolved multispectral fluorescence microscopy provides a 4D hypercube dataset with high specificity for cellular examination. However, this is generally obtained by significantly increasing the measurement time, which is quite limiting for in vivo measurement or with photosensitive sample. It is possible to reduce the measurement effort with a novel microscopy framework exploiting compressive sensing based on single-pixel camera. In this work, we present a compressive sensing system and validate it with a cellular sample. Data fusion with a high-resolution camera image allows us to tackle the well-known problem of low-resolution in single-pixel imaging.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alberto Ghezzi, Andrea Farina, Armin J. M. Lenz, Fernando Soldevila, Enrique Tajahuerce, Andrea Bassi, Gianluca Valentini, and Cosimo D'Andrea "Compressive time-resolved multispectral fluorescence microscopy with single-pixel camera", Proc. SPIE 12385, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXX, 1238502 (16 May 2023); https://doi.org/10.1117/12.2648193
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KEYWORDS
Data fusion

Digital micromirror devices

Image fusion

Fluorescence microscopy

Compressed sensing

Fluorescence

Computational imaging

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