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Reducing data acquisition for light‐sheet microscopy by extrapolation between imaged planes
Author(s) -
Shemesh Ziv,
Chaimovich Gal,
Gino Liron,
Ozaisan,
Nylk Jonathan,
Dholakia Kishan,
Zalevsky Zeev
Publication year - 2020
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.202000035
Subject(s) - extrapolation , data acquisition , light sheet fluorescence microscopy , interpolation (computer graphics) , biological specimen , microscopy , sample (material) , resolution (logic) , computer science , optics , computer vision , materials science , artificial intelligence , mathematics , chemistry , physics , image (mathematics) , statistics , scanning confocal electron microscopy , chromatography , operating system
Light‐sheet fluorescence microscopy (LSFM) is a powerful technique that can provide high‐resolution images of biological samples. Therefore, this technique offers significant improvement for three‐dimensional (3D) imaging of living cells. However, producing high‐resolution 3D images of a single cell or biological tissues, normally requires high acquisition rate of focal planes, which means a large amount of sample sections. Consequently, it consumes a vast amount of processing time and memory, especially when studying real‐time processes inside living cells. We describe an approach to minimize data acquisition by interpolation between planes using a phase retrieval algorithm. We demonstrate this approach on LSFM data sets and show reconstruction of intermediate sections of the sparse samples. Since this method diminishes the required amount of acquisition focal planes, it also reduces acquisition time of samples as well. Our suggested method has proven to reconstruct unacquired intermediate planes from diluted data sets up to 10× fold. The reconstructed planes were found correlated to the original preacquired samples (control group) with correlation coefficient of up to 90%. Given the findings, this procedure appears to be a powerful method for inquiring and analyzing biological samples.