TY - GEN
T1 - Automation of interferometric synthetic aperture microscopy
AU - Xu, Yang
AU - Liu, Yuan Zhi
AU - Boppart, Stephen A.
AU - Carney, P. Scott
N1 - Publisher Copyright:
© 2015 Optical Society of America.
PY - 2015
Y1 - 2015
N2 - In this paper, we present an automated algorithm framework for determining the optimal parameters for interferometric synthetic aperture microscopy (ISAM). Three stages of ISAM reconstruction, including dispersion correction, spectral domain resampling and computational adaptive optics (CAO) aberration correction are automated. This algorithm framework signifficantly lowers the background requirement for operating and calibrating ISAM machines, while achieving fast, near-optimal ISAM reconstruction on optical coherence tomography (OCT) datasets.
AB - In this paper, we present an automated algorithm framework for determining the optimal parameters for interferometric synthetic aperture microscopy (ISAM). Three stages of ISAM reconstruction, including dispersion correction, spectral domain resampling and computational adaptive optics (CAO) aberration correction are automated. This algorithm framework signifficantly lowers the background requirement for operating and calibrating ISAM machines, while achieving fast, near-optimal ISAM reconstruction on optical coherence tomography (OCT) datasets.
UR - https://www.scopus.com/pages/publications/85088352523
U2 - 10.1364/fio.2015.ftu3d.3
DO - 10.1364/fio.2015.ftu3d.3
M3 - Conference contribution
AN - SCOPUS:85088352523
T3 - Proceedings of Frontiers in Optics 2015, FIO 2015
BT - Proceedings of Frontiers in Optics 2015, FIO 2015
PB - OSA - The Optical Society
T2 - Frontiers in Optics 2015, FIO 2015
Y2 - 18 October 2015 through 22 October 2015
ER -