Time-resolved multispectral fluorescence imaging system based on compressed sensing (Conference Presentation)

Cosimo D'Andrea; Andrea Farina; Giulia Acconcia; Ivan Labanca; Laura Di Sieno; Andrea Bassi; Gianluca Valentini; Ivan Rech

doi:10.1117/12.2558713

27 April 2020 Time-resolved multispectral fluorescence imaging system based on compressed sensing (Conference Presentation)

Cosimo D'Andrea, Andrea Farina, Giulia Acconcia, Ivan Labanca, Laura Di Sieno, Andrea Bassi, Gianluca Valentini, Ivan Rech

Author Affiliations +

Proceedings Volume 11386, Advanced Photon Counting Techniques XIV; 113860I (2020) https://doi.org/10.1117/12.2558713
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Time-resolved multispectral imaging has recently found many applications ranging from biomedical to environmental field. Multidimensional approach measuring spectral and ultrafast temporal dynamics of fluorescence signal combined with spatial information (imaging) allows one to characterize biological processes at both microscopic and macroscopic level, representing a fundamental step towards development of diagnostic strategies. Long acquisition time is the main drawback of multidimensional approach because it is not compatible with biological system dynamics. In order to reduce the measurement times, it is necessary to parallelize the acquisition (hardware level) and to optimize the acquisition strategy to reduce the measurements number while preserving the information content. In this work we have developed a time-resolved multispectral fluorescence imaging system based on a spad array combined with compression techniques which allows to reduce the number of time-resolved acquisitions by a factor < 70%. The system is based on a double DMD configuration (excitation and detection) coupled to a 32x1 SPAD array, each one with its own TCSPC circuit, placed after an imaging spectrometer. This allows one to use the spatial modulation of the excitation/detection light to acquire images at different wavelengths following the single pixel camera (SPC) scheme. In order to compress the number of acquisitions, a CW fluorescence image is acquired through a CCD and Hadamard transform is applied to select most significative coefficients. The patterns related to these coefficients are subsequently used for SPC acquisition for time and spectral resolution. A Total-Variation based algorithm is used for the reconstruction of the 4D images.

Conference Presentation

Citation Download Citation

Cosimo D'Andrea, Andrea Farina, Giulia Acconcia, Ivan Labanca, Laura Di Sieno, Andrea Bassi, Gianluca Valentini, and Ivan Rech "Time-resolved multispectral fluorescence imaging system based on compressed sensing (Conference Presentation)", Proc. SPIE 11386, Advanced Photon Counting Techniques XIV, 113860I (27 April 2020); https://doi.org/10.1117/12.2558713

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Imaging systems

Luminescence

Multispectral imaging

Compressed sensing

Reconstruction algorithms

Signal processing

Biomedical optics

Show All Keywords

Keywords/Phrases

Search In:

Publication Years