This post describes the basic functionalities of histoCAT++ to get up and running with IMC data visualization and generating great color composites with full control on channel coloring, labels, plecale bars, our awesome pseudo-HE (Hematoxylin and Eosin) bright field mode, and much more. Later tutorials will follow showing batch processing, image adjustment and normalization, pixel classification with machine learning, mask generation, cell segmentation, plotting and much more. We are excited to start this manual and to grow it together with you in the future. The Workspace Document First of all, it is important to have an idea about how histoCAT++ handles your files. Understanding this will truly empower you using this tool. The manual assumes that you are using […]
histoCAT++ manual is organized in simple tutorial posts describing common tasks and routines that we currently use at the Bodenmiller laboratory. Feel free to add comments and questions to the tutorials. We also recommend that you post your questions at imc-forum.org for a better reach out into the community of Image Mass Cytometrists.