Results 61 to 70 of about 625,799 (289)
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran+16 more
wiley +1 more source
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks [PDF]
Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy. Fluorescence microscopy image volumes inherently suffer from intensity inhomogeneity, blur, and are corrupted by various types of noise which exacerbate image quality at deeper tissue depth.
arxiv +1 more source
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning [PDF]
Three-dimensional (3D) fluorescence microscopy in general requires axial scanning to capture images of a sample at different planes. Here we demonstrate that a deep convolutional neural network can be trained to virtually refocus a 2D fluorescence image onto user-defined 3D surfaces within the sample volume.
arxiv +1 more source
Fluorescence confocal microscopy for pathologists [PDF]
Confocal microscopy is a non-invasive method of optical imaging that may provide microscopic images of untreated tissue that correspond almost perfectly to hematoxylin- and eosin-stained slides. Nowadays, following two confocal imaging systems are available: (1) reflectance confocal microscopy, based on the natural differences in refractive indices of ...
Ragazzi M.+7 more
openaire +5 more sources
Transient receptor potential melastatin‐4 (TRPM4) is overexpressed in prostate cancer (PCa). Knockout of TRPM4 resulted in reduced PCa tumor spheroid size and decreased PCa tumor spheroid outgrowth. In addition, lack of TRPM4 increased cell death in PCa tumor spheroids.
Florian Bochen+6 more
wiley +1 more source
Exploiting speckle correlations to improve the resolution of wide-field fluorescence microscopy [PDF]
Fluorescence microscopy is indispensable in nanoscience and biological sciences. The versatility of labeling target structures with fluorescent dyes permits to visualize structure and function at a subcellular resolution with a wide field of view. Due to the diffraction limit, conventional optical microscopes are limited to resolving structures larger ...
arxiv +1 more source
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin+14 more
wiley +1 more source
The complex mode of action of the topoisomerase II inhibitor etoposide in triggering apoptosis involves several mechanisms: overexpression of the mitochondrial protein VDAC1, leading to its oligomerization and formation of a large channel that mediates the release of pro‐apoptotic protein; and overexpression of the apoptosis regulators p53, Bax, and ...
Aditya Karunanithi Nivedita+1 more
wiley +1 more source
Bayesian-based deconvolution fluorescence microscopy using dynamically updated nonparametric nonstationary expectation estimates [PDF]
Fluorescence microscopy is widely used for the study of biological specimens. Deconvolution can significantly improve the resolution and contrast of images produced using fluorescence microscopy; in particular, Bayesian-based methods have become very popular in deconvolution fluorescence microscopy.
arxiv
Inducible fluorescent speckle microscopy [PDF]
The understanding of cytoskeleton dynamics has benefited from the capacity to generate fluorescent fiducial marks on cytoskeleton components. Here we show that light-induced imprinting of three-dimensional (3D) fluorescent speckles significantly improves speckle signal and contrast relative to classic (random) fluorescent speckle microscopy. We predict
Helder Maiato+5 more
openaire +4 more sources