Search Results for "statistical"

ShinyCardinal is an open-source and vendor-neutral software that covers all steps in MSI data analysis. It leverages the R package Cardinal to enhance its functionalities by introducing several additional important features, such as the removal of background noises and matrix peaks, deisotoping, absolute quantification, network analysis, and metabolite identification. ShinyCardinal is built as a desktop application with a conveniently designed graphic user interface to provide users a...

MDPP is an image processing package designed for micrograph data. It contains program to process data in a number of ways including many averaging methods, statistical methods and reconstruction schemes. The programs are not limited to micrograph data of course, but can be applied to images of all types.

...The application also enables to manually define text areas in CBR files. The application comprises a simple graphical editor for further processing the extracted text. The text extraction is achieved by a combination of statistical and graphical processing operations. It is based on the following 3 major algorithms - Binarization of color images (Niblak and other methods) - Connected components - K-Means clustering Apache Tesseract is used to perform Optical Character Recognition on the extracted text. A subsequent version of the application will integrate with translation software in order to provide automated translation of comic book texts and re-inserion of translated texts

...Image analysis of fluorescent molecules provides key information about the location, interactions, and dynamic behavior of target molecules. Usually user needs to recognize, characterize and classify particles, and in many cases to do statistical inferences from data collected. FluoJ is a software tool to automate many of these steps. We used it to measure sperm quality, cells movement, virus infection in plants and apoptosis in cancer cells. This results were achieved providing a customizable environment for particles detection, measurement and classification. A wide number of predefined features can be used to characterize fluorescent specimens (e.g. area, circularity, brightness, etc), and new descriptors can be easily added. ...

...The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.

phpCollect aims to quickly and easily graph, record, and display statistical host data.