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

Web Based Methodology for Holographic Learning on Microscopy Patterns Recognition

Not Accessible

Your library or personal account may give you access

Abstract

We propose a way to perform the classification of holographic phase maps using machine learning models in a web application. The system can perform acquisition, processing, reconstruction, segmentation, and classification steps straight from the browser.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Dynamic imaging and characterization of volatile aerosols using deep learning-based holographic microscopy

Yi Luo, Yichen Wu, Liqiao Li, Yuening Guo, Ege Çetintaş, Yifang Zhu, and Aydogan Ozcan
FM2D.4 Frontiers in Optics (FiO) 2021

Raw holograms based machine learning for cancer cells classification in microfluidics

Mattia Delli Priscoli, Pasquale Memmolo, Gioele Ciaparrone, Vittorio Bianco, Francesco Merola, Lisa Miccio, Francesco Bardozzo, Daniele Pirone, Martina Mugnano, Flora Cimmino, Mario Capasso, Achile Iolascon, Pietro Ferraro, and Roberto Tagliaferri
DTh1D.3 Digital Holography and Three-Dimensional Imaging (DH) 2021

Learning-based Single Shot Phase Retrieval for Reflective Digital Holographic Microscopy

Dongheon Yoo, Byounghyo Lee, Jaebum Cho, and Byoungho Lee
JW4A.24 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

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
Dynamic imaging and characterization of volatile aerosols using deep learning-based holographic microscopy

Yi Luo, Yichen Wu, Liqiao Li, Yuening Guo, Ege Çetintaş, Yifang Zhu, and Aydogan Ozcan
FM2D.4 Frontiers in Optics (FiO) 2021

Raw holograms based machine learning for cancer cells classification in microfluidics

Mattia Delli Priscoli, Pasquale Memmolo, Gioele Ciaparrone, Vittorio Bianco, Francesco Merola, Lisa Miccio, Francesco Bardozzo, Daniele Pirone, Martina Mugnano, Flora Cimmino, Mario Capasso, Achile Iolascon, Pietro Ferraro, and Roberto Tagliaferri
DTh1D.3 Digital Holography and Three-Dimensional Imaging (DH) 2021

Learning-based Single Shot Phase Retrieval for Reflective Digital Holographic Microscopy

Dongheon Yoo, Byounghyo Lee, Jaebum Cho, and Byoungho Lee
JW4A.24 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

On-chip online learning and inference for photonic pattern recognition

Bicky A. Marquez, Zhimu Guo, Hugh Morison, Sudip Shekhar, Lukas Chrostowski, Paul Prucnal, and Bhavin J. Shastri
SM1B.5 CLEO: Science and Innovations (CLEO:S&I) 2021

Deep-learning-enabled Holographic Polarization Microscopy

Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, and Aydogan Ozcan
ATh4F.5 CLEO: Applications and Technology (CLEO:A&T) 2021

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.