Delves into various color spaces, Color Deconvolution, and analyzing Whole Slide Images.
Delves into light absorption, scattering, and DAB quantification methods, emphasizing the importance of segmenting areas for accurate measurements.
Covers image projection methods to simplify multidimensional data interpretation using operations like Maximum Intensity Projection and filters.
Covers reslicing, a method to convert 3D datasets into 2D images by extracting intensity values along a line, and its applications in analyzing moving objects and spatial relationships.
Covers the basics of arrays in ImageJ, including defining, declaring, and retrieving values, with an emphasis on using meaningful names.
