Open-Source package for segmentation and analysis of gel electrophoresis images using machine learning. Both a python framework for training/running models and a QuPath GUI extension are available.

A new machine learning model can successfully identify bands from gel electrophoresis images. Gel electrophoresis is a staple of many life science labs but has changed little since the 20th century.

The result was a highly effective model capable of identifying bands regardless of their quality, background intensity and even the presence of unexpected discontinuities such as torn gel chunks.

Our new tool harnesses the power of artificial intelligence to bring the analysis of gel electrophoresis data firmly into the 21 st century.' /Public Release. This material from the originating ...

All the latest science news on gel electrophoresis from Phys.org. Find the latest news, advancements, and breakthroughs.

University of Edinburgh scientists have harnessed the power of AI in a new tool that promises to speed up analysis of data from gel electrophoresis experiments. The technique is widely used across ...

The microwestern (11−13) and mesowestern (14) blot technologies use a horizontal polyacrylamide gel and electrophoresis arrangement to achieve higher sample throughput, and we built on the same ...

First, a gel electrophoresis assay was performed for the detection of a target strand (1 pmol, initiator in this case) using the HCR-alone approach. The gel electrophoresis data showed that the ...