Deep learning alignment of bidirectional raster scanning in high speed photoacoustic microscopy

Deep learning alignment of bidirectional raster scanning in high speed photoacoustic microscopy

Abstract Simultaneous point-by-point raster scanning of optical and acoustic beams has been widely adapted to high-speed photoacoustic microscopy (PAM) using a water-immersible microelectromechanical system or galvanometer scanner. However, when using high-speed water-immersible scanners, the two co...

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Bibliographic Details
Main Authors:	Jongbeom Kim, Dongyoon Lee, Hyokyung Lim, Hyekyeong Yang, Jaewoo Kim, Jeesu Kim, Yeonggeun Kim, Hyung Ham Kim, Chulhong Kim
Format:	Article
Language:	English
Published:	Nature Portfolio 2022-09-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-022-20378-2

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