TY - GEN
T1 - Deep Learning-assisted Holographic Tomography for 3-D Cell Morphology Processing and Display
AU - Tu, Han Yen
AU - Chi, Han Wen
AU - Shimobaba, Tomoyoshi
AU - Cheng, Chau Jern
N1 - Publisher Copyright:
© Optica Publishing Group 2023, © 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - This study proposes deep learning-enabled three-dimensional processing for segmentation of the inter-/intra-cell morphology with holographic tomography. We also employ computer-generated holography to demonstrate the observable cell morphology for 3D cell display and visualization.
AB - This study proposes deep learning-enabled three-dimensional processing for segmentation of the inter-/intra-cell morphology with holographic tomography. We also employ computer-generated holography to demonstrate the observable cell morphology for 3D cell display and visualization.
UR - http://www.scopus.com/inward/record.url?scp=85191156325&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191156325&partnerID=8YFLogxK
U2 - 10.1364/FIO.2023.FTh3D.6
DO - 10.1364/FIO.2023.FTh3D.6
M3 - Conference contribution
AN - SCOPUS:85191156325
T3 - Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
BT - Frontiers in Optics
PB - Optical Society of America
T2 - Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Y2 - 9 October 2023 through 12 October 2023
ER -