Presentation
10 October 2020 Developments of infrared-pump visible-probe phase imaging on chemical selectivity and deep-learning enhancement
Author Affiliations +
Abstract
Optical phase microscopy is widely adopted for quantitative imaging of optical density in transparent cells and tissues, yet lacks the chemical selectivity. To address this challenge, a bond-selective transient phase imaging (BTSP) technique was developed, in which a transient change in phase induced by infrared excitation of molecular vibrations was detected by a diffraction phase microscope. BTSP achieved chemically selective phase imaging of live cells. We further demonstrated an IR-pump visible-probe phase microscopy based on second harmonic generation after the sample, enabled by deep learning. The phase-sensitive information is encoded into the second harmonic signal, which is decoded using a deep learning algorithm. It presents a label-free technique featured by high phase sensitivity and high robustness against noises, which has promising applications in biological and medical imaging and remote sensing.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weiru Fan, Tianrun Chen, Vlad V. Yakovlev, Dawei Wang, and Delong Zhang "Developments of infrared-pump visible-probe phase imaging on chemical selectivity and deep-learning enhancement", Proc. SPIE 11549, Advanced Optical Imaging Technologies III, 115490T (10 October 2020); https://doi.org/10.1117/12.2575404
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KEYWORDS
Phase imaging

Infrared imaging

Infrared radiation

Algorithm development

Harmonic generation

Microscopy

Absorbance

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