Comparative analysis of signal-to-noise ratio in correlation plenoptic imaging architectures

Correlation plenoptic imaging (CPI) is a scanning-free diffraction-limited 3D optical imaging technique exploiting the peculiar properties of correlated light sources. CPI has been further extended to samples of interest to microscopy, such as fluorescent or scattering objects, in a modified archite...

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Bibliographic Details
Published in:European physical journal plus 2022-10, Vol.137 (10), p.1123, Article 1123
Main Authors: Massaro, Gianlorenzo, Scala, Giovanni, D’Angelo, Milena, Pepe, Francesco V.
Format: Article
Language:English
Subjects:
Algorithms
Applied and Technical Physics
Atomic
Background noise
Complex Systems
Condensed Matter Physics
Correlation
Fluorescence
Image acquisition
Imaging techniques
Light
Light sources
Mathematical and Computational Physics
Microscopy
Molecular
Optical and Plasma Physics
Optical properties
Physics
Physics and Astronomy
Propagation
Regular Article
Sensors
Signal to noise ratio
Theoretical
Three dimensional imaging
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Description
Summary:Correlation plenoptic imaging (CPI) is a scanning-free diffraction-limited 3D optical imaging technique exploiting the peculiar properties of correlated light sources. CPI has been further extended to samples of interest to microscopy, such as fluorescent or scattering objects, in a modified architecture named correlation light-field microscopy (CLM). Interestingly, experiments have shown that the noise performances of CLM are significantly improved over the original CPI scheme, leading to better images and faster acquisition. In this work, we provide a theoretical foundation to such advantage by investigating the properties of both the signal-to-noise and the signal-to-background ratios of CLM and the original CPI setup.
ISSN:2190-5444
2190-5444
DOI:10.1140/epjp/s13360-022-03295-1