Open AccessWidefield compressive multiphoton microscopy
Author(s) -
Milad Alemohammad,
Jaewook Shin,
Dũng Trần,
Jasper R. Stroud,
Sang Chin,
Trac D. Tran,
Mark A. Foster
Publication year - 2018
Publication title -
optics letters/optics index
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.524
H-Index - 272
eISSN - 1071-2763
pISSN - 0146-9592
DOI - 10.1364/ol.43.002989
Subject(s) - compressed sensing , optics , nyquist rate , computer science , microscope , signal (programming language) , sampling (signal processing) , microscopy , fluorescence microscope , materials science , fluorescence , physics , artificial intelligence , detector , programming language
A single-pixel compressively sensed architecture is exploited to simultaneously achieve a 10× reduction in acquired data compared with the Nyquist rate, while alleviating limitations faced by conventional widefield temporal focusing microscopes due to scattering of the fluorescence signal. Additionally, we demonstrate an adaptive sampling scheme that further improves the compression and speed of our approach.