TY - JOUR
T1 - U-net based isotropic phase retrieval with quantitative differential phase contrast microscopy
AU - Li, An Cin
AU - Chen, Ying Ju
AU - Huang, Hsuan Ming
AU - Luo, Yuan
N1 - Publisher Copyright:
© Optica Publishing Group 2021, © 2021 The Author (s)
PY - 2021
Y1 - 2021
N2 - IDPC imaging with a half-circle pupil faces the problem of demanding multiple measurements for isotropic phase retrieval. Here, deep learning method is applied to deal with slow data acquisition process and generate accurate phase from the least number of measurements.
AB - IDPC imaging with a half-circle pupil faces the problem of demanding multiple measurements for isotropic phase retrieval. Here, deep learning method is applied to deal with slow data acquisition process and generate accurate phase from the least number of measurements.
UR - http://www.scopus.com/inward/record.url?scp=85130221036&partnerID=8YFLogxK
M3 - 会议文章
AN - SCOPUS:85130221036
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - JW7A.19
T2 - Laser Science, LS 2021 - Part of Frontiers in Optics, FiO 2021
Y2 - 1 November 2021 through 4 November 2021
ER -