AIMC Topic: Microscopy, Fluorescence

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DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.

Bioinformatics (Oxford, England)
MOTIVATION: Super-resolution fluorescence microscopy with a resolution beyond the diffraction limit of light, has become an indispensable tool to directly visualize biological structures in living cells at a nanometer-scale resolution. Despite advanc...

Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network.

IEEE transactions on bio-medical engineering
Detection of nuclei is an important step in phenotypic profiling of 1) histology sections imaged in bright field; and 2) colony formation of the 3-D cell culture models that are imaged using confocal microscopy. It is shown that feature-based represe...

Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons.

Neuroinformatics
Digital reconstruction of neuronal cell morphology is an important step toward understanding the functionality of neuronal networks. Neurons are tree-like structures whose description depends critically on the junctions and terminations, collectively...

Bioimage Informatics for Big Data.

Advances in anatomy, embryology, and cell biology
Bioimage informatics is a field wherein high-throughput image informatics methods are used to solve challenging scientific problems related to biology and medicine. When the image datasets become larger and more complicated, many conventional image a...

[Construction of Recombinant Adenovirus Vector with Human/Mouse Interferon Gene and Its Transfection into Human Umbilical Cord Mesenchymal Stem Cells].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVE: Construction and identification of recombinant adenovirus vector with human/mouse interferon (IFN-gamma) and effectively transfection into human umbilical cord mesenchymal stem cells (HUMSCs).