Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

• Published in: arXiv.org
• Main Authors: Shajkofci, Adrian, Liebling, Michael
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 14.02.2021
• Subjects: Artificial neural networks; Blurring; Deep learning; Fields (mathematics); Flow measurement; Ground truth; High speed cameras; Luminous intensity; Microscopy; Optical flow (image analysis); Organelles; Organs; Parameter estimation; Regression coefficients; Three dimensional motion; Two dimensional flow; Velocity

Optical flow is a method aimed at predicting the movement velocity of any pixel in the image and is used in medicine and biology to estimate flow of particles in organs or organelles. However, a precise optical flow measurement requires images taken at high speed and low exposure time, which induces...