Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Automatic Compensation of Phase Aberrations in Digital Holographic Microscopy for Ovarian Cancer Cell Drug Sensitivity Survey by Detecting Object-free Regions on Synthetic Difference Image

Not Accessible

Your library or personal account may give you access

Abstract

Method enables automatic compensation of phase aberrations of digital holographic microscopy by detecting object-free regions on synthetic difference image is proposed and applied to monitor the response of ovarian cancer cells exposed to cisplatin.

© 2020 The Author(s)

PDF Article  |   Presentation Video
More Like This
Deep learning for digital holographic microscopy: automatic detection of phase objects in raw holograms

C. Trujillo and J. Garcia-Sucerquia
HTu4B.3 Digital Holography and Three-Dimensional Imaging (DH) 2020

Drug Resistance Classification of Cancer Cells Based on Digital Holographic Flow Cytometry and Machine Learning

Lu Xin, Wen Xiao, Leiping Che, JinJin Liu, Lisa Miccio, Vittorio Bianco, Pasquale Memmolo, Pietro Ferraro, Xiaoping Li, and Feng Pan
JW1A.5 Applied Industrial Spectroscopy (AIS) 2021

Deep Learning Bi-telecentric Digital Holographic Microscopy for Aberration Compensation Applied to Cancer Cells

Thanh Nguyen, Vy Bui, Dat Tran, and George Nehmetallah
Tu2A.5 Digital Holography and Three-Dimensional Imaging (DH) 2017

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Deep learning for digital holographic microscopy: automatic detection of phase objects in raw holograms

C. Trujillo and J. Garcia-Sucerquia
HTu4B.3 Digital Holography and Three-Dimensional Imaging (DH) 2020

Drug Resistance Classification of Cancer Cells Based on Digital Holographic Flow Cytometry and Machine Learning

Lu Xin, Wen Xiao, Leiping Che, JinJin Liu, Lisa Miccio, Vittorio Bianco, Pasquale Memmolo, Pietro Ferraro, Xiaoping Li, and Feng Pan
JW1A.5 Applied Industrial Spectroscopy (AIS) 2021

Deep Learning Bi-telecentric Digital Holographic Microscopy for Aberration Compensation Applied to Cancer Cells

Thanh Nguyen, Vy Bui, Dat Tran, and George Nehmetallah
Tu2A.5 Digital Holography and Three-Dimensional Imaging (DH) 2017

Phase aberration compensation in digital holographic microscopy using regression analysis

Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam
JTh3B.5 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

Label-free detection of global morphology changes in confluent cell layers utilizing quantitative phase imaging with digital holographic microscopy

Björn Kemper, Luisa Pohl, Mathias Kaiser, Eva Döpker, Jürgen Schnekenburger, and Steffi Ketelhut
11076_30 European Conference on Biomedical Optics (ECBO) 2019

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.