A wavelet-based image-analysis software providing a fast automatic detection scheme for circular patterns (spots), combined with the precise estimation of their size. SpotCaliper is able to automatically find spots of varying size, and gives a precise measurement on their radius. The detections are collected in a table, displaying the following parameters: unique identifier (ID) of the spot, its location (x and y coordinates), radius, confidence, contrast, SNR and type. It is implemented as an ImageJ plugin with a friendly user interface. The user is allowed to edit the results by modifying the measurements (in a semi-automated way), extract data for further analysis. The fine tuning of the detections includes the possibility of adjusting or removing the original detections, as well as adding further spots. The main advantage of the software is its ability to capture the size of spots in a fast and accurate way.
Allows quantitative detection of membrane compartments at subcellular resolution in intact epidermal tissue. Endosome Detection is a method using quantitative confocal laser microscopy (QCLM) to reveal stress adjustment of membrane trafficking in living Arabidopsis whole-leaf tissue. It enables handling of large sample sets at high-throughput and automated image analysis recording multiparametric quantitative values.
Allows users to automatically count mitotic cells, neurons and glia. DeadEasy caspase is a program that identifies cells based on a combination of pixel intensity and minimum volume in 3D. This tool is designed as an ImageJ plug-in and can be used for analyzing cell survival and cell death in development and in disease, such as neurodegenerative diseases and ageing.
Assists users to count automatically the number of mitotic cells labelled with anti-phospho-histone H3 and of glial cells labelled with anti-Repo in Drosophila embryos. DeadEasy Mito-Glia is a program that can quantify cells labelled with other nuclear markers. It can be used to compare cell counts between large samples of wild-type and mutant specimens, to infer gene function.
Allows analysis of a range of parameters measured in 3D cell culture based on 2D images. PCaAnalyser is an automated image-analysis based software developed as an ImageJ plugin. The software enables high-throughput analysis of images acquired from cells grown in a 3D matrix. It is able to reproducibly analyze immuno-staining of different markers known to be involved in cancer progression including CXCR4, α6 and β1 integrin subunits.
You can access more results by creating a free plan account or unlimited content via a premium account.