Here are some of the machine learning algorithms, data augmentation and validation (cross-validation) Python scripts that I developed as part of my master thesis at The Stevens Lab @ Imperial College ...

Abstract: Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Charge state deconvolution is essential for efficient and effective protein mass ...

Native Mass Spectrometry (MS) can be used to examine proteins in their natural, folded forms. In this blog, Marshall Bern, Ph.D., the Vice President of Research and Co-Founder of Protein Metrics, ...

BETHESDA, Md.--(BUSINESS WIRE)--Media Cybernetics is pleased to announce the release of AutoQuant version X3 image deconvolution and 5D visualization software ...