Abstract: Neural recordings, returns from radars and sonars, images in astronomy and single-molecule microscopy can be modeled as a linear superposition of a small number of scaled and delayed copies ...

Abstract: Seismic deconvolution is essential for extracting layer information from noisy seismic data, but it is an ill-posed problem with nonunique solutions. Inspired by classical optimization ...

SAN FRANCISCO--(BUSINESS WIRE)--Origin Lab, the technology platform turning licensed game worlds into structured training data for world models and multimodal AI, today announced an $8M seed round led ...

Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...

The central dogma of molecular biology describes the unidirectional flow of genetic information from DNA to RNA to protein, emphasizing the critical role of RNA as a messenger. Unlike DNA, RNA ...

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 ...

Spatial transcriptomics technologies can capture gene expression at spatial loci. However, at certain resolutions, the obtained gene expression reflects the sum of either a heterogeneous or ...

A new publication from Opto-Electronic Advances, 10.29026/oes.2024.230020 discusses revolutionizing OCT imaging. Deconvolution, an essential method widely employed in various optical imaging ...

Deconvolution reporting software for chromatography sample data is a specialized tool used to analyze and report on complex chromatographic data, particularly when dealing with overlapping peaks or ...

In this video tutorial, we delve into the advanced data analysis capabilities of OriginLab software, exploring how to deconvolute a peak and perform multiple peak fitting with ease. By following our ...