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 ...
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 ...
Abstract: This paper presents a practical step-by-step approach to Frequency Modulated Continuous Wave (FMCW) radar nonlinearity correction (deconvolution), utilizing surface-based Ku- and Ka-band ...
a. MRA helps resolve the dense actin filaments with SIM imaging. b. MRA helps resolve the mitochondrial cristae cluster with LiveSR imaging. c. SecMRA helps better section the ER tubule structure. d.
This study makes a valuable contribution to spatial transcriptomics by rigorously benchmarking cell-type deconvolution methods, assessing their performance across diverse datasets with a focus on ...
Abstract: Blind deconvolution has been demonstrated to be an effective tool for rolling element bearing localized defect detection. However, the successful utilization of deconvolution methods largely ...
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 ...
DeMixSC is a generalizable framework designed to leverage a small benchmark dataset for bulk RNA-seq deconvolution. Please refer to our accepted manuscript at Genome Research for details. Adjustment: ...
ABSTRACT: We develop a field theory-inspired stochastic model for description of tumour growth based on an analogy with an SI epidemic model, where the susceptible individuals (S) would represent the ...
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