Convolutional Neural Networks-Based Image Analysis for the Detection and Quantification of Neutrophil Extracellular Traps.
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ABSTRACT:
SUBMITTER: Manda-Handzlik A
PROVIDER: S-EPMC7072771 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Publications
Convolutional Neural Networks-Based Image Analysis for the Detection and Quantification of Neutrophil Extracellular Traps.
Manda-Handzlik Aneta A Fiok Krzysztof K Cieloch Adrianna A Heropolitanska-Pliszka Edyta E Demkow Urszula U
Cells 20200224 2
Over a decade ago, the formation of neutrophil extracellular traps (NETs) was described as a novel mechanism employed by neutrophils to tackle infections. Currently applied methods for NETs release quantification are often limited by the use of unspecific dyes and technical difficulties. Therefore, we aimed to develop a fully automatic image processing method for the detection and quantification of NETs based on live imaging with the use of DNA-staining dyes. For this purpose, we adopted a recen ...[more]
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