Deconvolution is a computational technique of increasing the resolution and SNR (signal to noise ratio) of images captured on an imaging system. Its use existed before the extensive use of confocal ...
Selecting the right deconvolution method to analyze the composition of complex mixtures of cells just got easier. Researchers derived clear guidelines scientists can use to determine the deconvolution ...
Protein post-translational modifications (PTMs) play important roles in the control of various biological processes including protein–protein interactions, epigenetics and cell cycle regulation. Mass ...
Fluorescence microscopy has become an indispensable tool in cell biology research due its exceptional specificity and ability to visualize subcellular structures with high contrast. It has highest ...
SIAM Journal on Applied Mathematics, Vol. 70, No. 4 (2009), pp. 1097-1119 (23 pages) Given a blurred image g(x, y), variational blind deconvolution seeks to reconstruct both the unknown blur k(x, y) ...
What will you learn on this course? This practical software course on the powerful Automated Mass Spectral Deconvolution and Identification System software mixes 50% presentations with 50% practical ...
This course has been approved by the Royal Society of Chemistry for purposes of Continuing Professional Development (CPD). What will you learn on this course? This one day classroom based course ...
Reveal the hidden structures in your sample using cellSens imaging software, which includes a wide range of powerful deconvolution tools. Real-time deconvolution can be applied to live images using ...
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