Color processing software tools | Brightfield-field microscopy
The histopathologists get the benefits of wide range of colored dyes to have much useful information about the lesions and the tissue compositions. Despite its advantages, the staining process comes up with quite complex variations in staining concentrations and correlations, tissue fixation types, and fixation time periods. Together with the improvements in computing power and with the development of novel image analysis methods, these imperfections have led to the emerging of several color normalization algorithms.
Detects the basic components in an Immunohistochemistry (IHC) image. IHC Toolbox was developed using a semi-automatic scheme that is suitable for different kinds of IHC image analysis. The software includes functions for semi-automatic color selection, automatic statistical color detection, automatic nuclei segmentation and automatic gland detection. It allows users to save and transfer their created models and parameters to different users for the reproduction of detection results in different laboratories.
Assists in cell nuclei counting and staining estimation of accurate immunohistochemical (IHC)‑stained tissue slices and tissue microarrays (TMAs). TMARKER is a toolkit suitable for cancer cell nucleus setection, segmentation, counting, and classification (malignant/benign and stained/unstained). The software uses a superpixel‑based approach for classification. One of its advantages is the reproducibility of competitive cell counts.
Provides a color processing toolbox. COLORLAB is a color computation and visualization toolbox that can be used in the MATLAB environment. This method is intended to deal with color in general-purpose quantitative colorimetric applications as color image processing and psychophysical experimentation. It uses colorimetrically meaningful representations of color and color images.
Allows separation of combination of two or three colors. Colour deconvolution is based on orthonormal transformation of the original RGB image, depending on user-determined color information about the three colors. It provides possibility to determine staining densities, even in areas where multiple stains are co-localized. It enables the determination of surface area and overall absorption in areas with a specific color.
Allows image alignment and segmentation and can quantify color patterns in a wide range of organisms. Patternize can be used for quantification of the color patterns in a variety of organisms by analyzing image data for butterflies, guppies and spiders. It can be used for fine scale quantification of color pattern phenotypes in population comparisons, genetic association studies and investigating the genetic basis of color pattern expression.
You can access more results by creating a free plan account or unlimited content via a premium account.