Search Results for "red"

...There are currently several prototypes available: --cellPAINT_coronavirus includes a newly-redesigned user interface, and molecular building blocks for coronavirus, blood plasma, and a simple human cell --cellPAINT_exo includes hand-painted sprites created by Julia Jimenez during an internship, and also allows input of custom sprites through Mesoscope --cellPAINT_VR is a 3D virtual reality version of cellPAINT, with molecular building blocks for a red blood cell cytoskeleton --cellPAINT_2D is the initial alpha release of cellPAINT, with building blocks for HIV, blood plasma, and a human T-cell. For more information and tutorials, see our website at https://ccsb.scripps.edu/cellpaint Please submit any bug or feature requests to our ticket page.

...The tool requires as input the original RGB images, and the FastRed, FastBlue, DAB channel, easily obtained using the Fiji function: "ImageJ" -> "Image" -> "Colour Deconvolution" -> "FastRed FastBlue DAB" Then, the tool first segment the nuclei using the FastBlue channel and the DAB channel, and then computes statistics by subdividing the sample in three regions according to the FastRed channel: a dark-red ROI, a light-pink ROI and a white ROI. ANDTool is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code and standalone versions are here available for download. USER MANUAL: see the specific PDF available in the Files section. REQUIREMENTS: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. ...

Coronavirus tracker app for iOS & macOS with map & charts. https://coronatracker.samabox.com/

MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony.

A Python interface to the Wordnet database of word meanings and lexical relationships. allows the user to type expressions such as N['dog'], hyponyms(N['dog'][0]), and closure(ADJ['red'], SYNONYM) to query the database for lexical relationships.