Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning

VK Lam, TC Nguyen, BM Chung… - Cytometry Part …, 2018 - Wiley Online Library
The noninvasive, fast acquisition of quantitative phase maps using digital holographic
microscopy (DHM) allows tracking of rapid cellular motility on transparent substrates. On two …

Computational multi-wavelength phase synthesis using convolutional neural networks

B Bazow, T Phan, CB Raub, G Nehmetallah - Applied Optics, 2022 - opg.optica.org
Multi-wavelength digital holographic microscopy (MWDHM) provides indirect measurements
of the refractive index for non-dispersive samples. Successive-shot MWDHM is not …

Digital holography

P Picart, S Montresor - Optical Holography, 2020 - Elsevier
The idea of digitally reconstructing the optical wave front was born in the 1960s. The goal
was to replace the “analogue” recording/decoding of the object by a “digital” …

[PDF][PDF] 结合划线拟合和深度学习的数字全息显微相位像差自动补偿方法

肖文, 杨璐, 潘锋, 曹闰禹, 姚田, 李小平 - 光子学报, 2018 - researching.cn
针对动态观察活体细胞形态的数字全息显微应用, 提出了一种结合划线拟合和深度学习的自动
相位像差补偿方法. 首先在全息面提取中心十字线上的物光场相位值, 通过二次多项式数值拟合 …

[图书][B] Classification of Cancer Cells Using Digital Holographic Microscopy and Machine Learning to Predict Disease-Relevant Behavior

VK Lam - 2021 - search.proquest.com
Many factors influence functional cancer cell behavior, including cancer mutations, gene
expression and microenvironment. Cell morphology, the shape and substructure of a cell …