Tools and methods for high-throughput single-cell imaging with the mother machine
Despite much progress, image processing remains a significant bottleneck for high-
throughput analysis of microscopy data. One popular platform for single-cell time-lapse …
throughput analysis of microscopy data. One popular platform for single-cell time-lapse …
Single‐cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates
Bacteria often grow into matrix‐encased three‐dimensional (3D) biofilm communities, which
can be imaged at cellular resolution using confocal microscopy. From these 3D images …
can be imaged at cellular resolution using confocal microscopy. From these 3D images …
[HTML][HTML] Structural and functional analyses of nematode-derived antimicrobial peptides support the occurrence of direct mechanisms of worm-microbiota interactions
J Rooney, E Rivera-de-Torre, R Li, K Mclean… - Computational and …, 2024 - Elsevier
The complex relationships between gastrointestinal (GI) nematodes and the host gut
microbiota have been implicated in key aspects of helminth disease and infection outcomes …
microbiota have been implicated in key aspects of helminth disease and infection outcomes …
Quantitative microbiology with widefield microscopy: navigating optical artefacts for accurate interpretations
Time-resolved live-cell imaging using widefield microscopy is instrumental in quantitative
microbiology research. It allows researchers to track and measure the size, shape, and …
microbiology research. It allows researchers to track and measure the size, shape, and …
[HTML][HTML] A general algorithm for consensus 3D cell segmentation from 2D segmented stacks
Cell segmentation is the fundamental task. Only by segmenting, can we define the
quantitative spatial unit for collecting measurements to draw biological conclusions. Deep …
quantitative spatial unit for collecting measurements to draw biological conclusions. Deep …
Segmentation of dense and multi-species bacterial colonies achieved using models trained on synthetic microscopy images
The spread of microbial infections is governed by the self-organization of bacteria on
surfaces. Limitations of live imaging techniques make collective behaviors in clinically …
surfaces. Limitations of live imaging techniques make collective behaviors in clinically …
Single-cell imaging of the lytic phage life cycle dissects the timing and noise in individual infection steps
When a lytic bacteriophage infects a cell, it hijacks the cell's resources to replicate itself,
ultimately causing cell lysis and the release of new virions. As phages function as obligate …
ultimately causing cell lysis and the release of new virions. As phages function as obligate …
2024 World Scientific Publishing Company
TL from Synthetic, A Milias-Argeitis… - Frontiers In Bioimage …, 2024 - books.google.com
In recent years, deep neural networks for cell segmentation have achieved impressive
advances over more traditional computer vision methods. However, generating large …
advances over more traditional computer vision methods. However, generating large …
Transfer Learning from Synthetic Data for Cell Segmentation and Tracking
A Milias-Argeitis, H Kruitbosch - Frontiers in Bioimage Informatics …, 2024 - World Scientific
In recent years, deep neural networks for cell segmentation have achieved impressive
advances over more traditional computer vision methods. However, generating large …
advances over more traditional computer vision methods. However, generating large …
Tools and methods for high-throughput single-cell imaging with the mother machine.
M Sandler, G Ahir, J Sauls, J Schroeder, S Brown… - 2024 - escholarship.org
Despite much progress, image processing remains a significant bottleneck for high-
throughput analysis of microscopy data. One popular platform for single-cell time-lapse …
throughput analysis of microscopy data. One popular platform for single-cell time-lapse …