Learning dynamical models of single and collective cell migration: a review
D Brückner, CP Broedersz - Reports on Progress in Physics, 2024 - iopscience.iop.org
Single and collective cell migration are fundamental processes critical for physiological
phenomena ranging from embryonic development and immune response to wound healing …
phenomena ranging from embryonic development and immune response to wound healing …
Data science in cell imaging
MK Driscoll, A Zaritsky - Journal of cell science, 2021 - journals.biologists.com
Cell imaging has entered the 'Big Data'era. New technologies in light microscopy and
molecular biology have led to an explosion in high-content, dynamic and multidimensional …
molecular biology have led to an explosion in high-content, dynamic and multidimensional …
Learning biophysical determinants of cell fate with deep neural networks
CJ Soelistyo, G Vallardi, G Charras… - Nature machine …, 2022 - nature.com
Deep learning is now a powerful tool in microscopy data analysis, and is routinely used for
image processing applications such as segmentation and denoising. However, it has rarely …
image processing applications such as segmentation and denoising. However, it has rarely …
Whole-genome screens reveal regulators of differentiation state and context-dependent migration in human neutrophils
NM Belliveau, MJ Footer, E Akdoǧan… - Nature …, 2023 - nature.com
Neutrophils are the most abundant leukocyte in humans and provide a critical early line of
defense as part of our innate immune system. We perform a comprehensive, genome-wide …
defense as part of our innate immune system. We perform a comprehensive, genome-wide …
Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning
E Moen, E Borba, G Miller, M Schwartz, D Bannon… - Biorxiv, 2019 - biorxiv.org
Live-cell imaging experiments have opened an exciting window into the behavior of living
systems. While these experiments can produce rich data, the computational analysis of …
systems. While these experiments can produce rich data, the computational analysis of …
Orientation-invariant autoencoders learn robust representations for shape profiling of cells and organelles
Cell and organelle shape are driven by diverse genetic and environmental factors and thus
accurate quantification of cellular morphology is essential to experimental cell biology …
accurate quantification of cellular morphology is essential to experimental cell biology …
Physics-informed deep learning characterizes morphodynamics of Asian soybean rust disease
H Cavanagh, A Mosbach, G Scalliet, R Lind… - Nature …, 2021 - nature.com
Medicines and agricultural biocides are often discovered using large phenotypic screens
across hundreds of compounds, where visible effects of whole organisms are compared to …
across hundreds of compounds, where visible effects of whole organisms are compared to …
DynaMorph: self-supervised learning of morphodynamic states of live cells
A cell's shape and motion represent fundamental aspects of cell identity and can be highly
predictive of function and pathology. However, automated analysis of the morphodynamic …
predictive of function and pathology. However, automated analysis of the morphodynamic …
Cell migration CRISPRi screens in human neutrophils reveal regulators of context-dependent migration and differentiation state
NM Belliveau, MJ Footer, E Akdogan, AP van Loon… - bioRxiv, 2022 - biorxiv.org
Neutrophils are the most abundant leukocyte in humans and provide a critical early line of
defense as part of our innate immune system. Their exquisite sensitivity to chemical …
defense as part of our innate immune system. Their exquisite sensitivity to chemical …
[HTML][HTML] Generative modeling of biological shapes and images using a probabilistic [... formula...]-shape sampler
Understanding morphological variation is an important task in many areas of computational
biology. Recent studies have focused on developing computational tools for the task of sub …
biology. Recent studies have focused on developing computational tools for the task of sub …