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.

Abstract: In this paper, we present the application of our generic, sensor-independent Map Match SLAM framework to visual mapping. In our previous work , we have introduced the map match SLAM approach ...

Thermo Scientific Owl D3-14 Wide Gel Electrophoresis System is ideal for screening PCR products, plasmid preps, restriction mapping and cloning. Includes: Buffer chamber, SuperSafe* lid with ...

A rapid and sensitive method to detect single-walled carbon nanotubes (SWNTs) in biological samples is presented. The method uses polyacrylamide gel electrophoresis (PAGE) followed by quantification ...

Gel electrophoresis is a widely used technique in life science laboratories to separate macromolecules such as DNA, RNA, and proteins. In this technique, molecules are separated based on their ...

DNA gel electrophoresis is usually performed for analytical purposes, often after amplification of DNA via polymerase chain reaction (PCR), but may be used as a preparative technique prior to use of ...

In this article, we will consider how agarose gel electrophoresis works, how it can be interpreted and some of its purposes ... crisp band may generally be expected from a PCR or restriction digestion ...