Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges. Dstl – Bright-field image segmentation The challenge was to test instance segmentation methods on transmitted light (bright-field) confocal microscopy images of cells. Instance segmentation is de-sirable because it allows for automatic cell counting and quantification of indi-vidual cell morphologies. Typically instance segmentation is done using fluores-cence microscopy, and nuclear staining, but this has several drawbacks including photo-toxicity for live cell assays. Bright-field microscopy is used extensively i...
Tscherepanow M, Zöllner F, Kummert F. Classification of Segmented Regions in Brightfield Microscope ...
Tscherepanow M, Zöllner F, Kummert F. Automatic Segmentation of Unstained Living Cells in Bright-Fie...
Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and...
Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the co...
Living cell segmentation from bright-field light microscopy images is challenging due to the image c...
Image object segmentation allows localising the region of interest in the image (ROI) and separating...
Living cell segmentation from bright-field light microscopic images is challenging due to the image ...
The detection and segmentation of adherent eukaryotic cells from brightfield microscopy images repre...
Bright field imaging of biological samples stained with antibodies and/or special stains provides a ...
These images are for testing with the self-supervised machine learning demo code posted to GitHub. ...
Abstract Morphological profiling is a combination of established optical microscopes and cutting-edg...
This project contains the data for the paper: A. Bouyssoux, R. Fezzani and J. -C. Olivo-Marin, "Cel...
Training and test images of live E. coli cells imaged under bright field for the task of segmentatio...
In this thesis we present the development of machine learning algorithms for single cell analysis in...
Knowledge discovery for understanding mechanisms of disease requires the integration of multiple sou...
Tscherepanow M, Zöllner F, Kummert F. Classification of Segmented Regions in Brightfield Microscope ...
Tscherepanow M, Zöllner F, Kummert F. Automatic Segmentation of Unstained Living Cells in Bright-Fie...
Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and...
Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the co...
Living cell segmentation from bright-field light microscopy images is challenging due to the image c...
Image object segmentation allows localising the region of interest in the image (ROI) and separating...
Living cell segmentation from bright-field light microscopic images is challenging due to the image ...
The detection and segmentation of adherent eukaryotic cells from brightfield microscopy images repre...
Bright field imaging of biological samples stained with antibodies and/or special stains provides a ...
These images are for testing with the self-supervised machine learning demo code posted to GitHub. ...
Abstract Morphological profiling is a combination of established optical microscopes and cutting-edg...
This project contains the data for the paper: A. Bouyssoux, R. Fezzani and J. -C. Olivo-Marin, "Cel...
Training and test images of live E. coli cells imaged under bright field for the task of segmentatio...
In this thesis we present the development of machine learning algorithms for single cell analysis in...
Knowledge discovery for understanding mechanisms of disease requires the integration of multiple sou...
Tscherepanow M, Zöllner F, Kummert F. Classification of Segmented Regions in Brightfield Microscope ...
Tscherepanow M, Zöllner F, Kummert F. Automatic Segmentation of Unstained Living Cells in Bright-Fie...
Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and...