What is multiTAP?

Multiplexed Tissue Analysis Platform (MultiTAP) is an open-source Python package designed for analyzing multiplexed tissue images. Package functionalities include the quantification of single-cell biomarkers, cell type clustering, and the analysis of cell-cell interactions. MultiTAP addresses a critical gap between the existing software landscape and the exponentially increasing volume of multiplexed tissue image data, by providing comprehensive and user-friendly tools tailored specifically for analyzing multiplexed data representations. Compared with previous software, MultiTAP offers unique features and advantages. It incorporates a cell segmentation algorithm guided by cytoplasm membrane labels, provides downstream analysis methods such as data normalization and automatic identification of marker-positive cells, and enables co-expression and cell-cell spatial interaction analysis. Moreover, MultiTAP offers the convenience of end-to-end analysis with a GUI for users from diverse backgrounds.

Analyzing your own multiplexed images

The most straight forward way is to utilize our graphical user interface (GUI) powered by Gradio and HuggingFace Spaces:

Click the analysis panel above to start the analysis. (Note: if the analysis panel shows blank screen, it is likely that the spaces are put to sleep. Please visit this HuggingFace Space to restart the space).

Alternative ways of using this tool:
Please see detailed documentation on https://github.com/QBRC/multiTAP to analyze images via commandline or Jupyter Notebooks.

Citation

If you find this tool useful, please cite us:

"TBD"