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HistoJS is a Web-based tool for Multiplexed images. The software can be deployed on clusters, as well as on the cloud or a local client-side machine.
*HistoJS Overview
| HistoJS Hack of JavaScript, CSS, HTML, Python Flask, Docker, OpenSeaDragon, Digital Slide Archive, WebGL, TFJS. |  |
| HistoJS can add connections to Digital Slide Archive (DSA) online servers and browse multiplex tissue images in ease and authentication mode. |  |
| Each OME-Tiff file represents a large biological multi-channel microscopy image of tissue samples. Each channel of the image represents the intensity of a specific marker (e.g., protein) distribution found in the biological cells. |  |
| Channel settings can be selected and adjusted (e.g., coloring, contrasting) for the best visualization experience. |  |
| Multiple blending and channel composite options are available with HistoJS to show marker distributions. |  |
| The HistoJS analysis phase of the cell populations can be performed using the tool analysis UI. The image shows how to perform cell gating, phenotyping, cell interactions, and many other options. |  |
OME-TIFF Dataset Sources: nanoString and Rashid et al.
Biological Statistical tasks such as biological cell biomarkers histogram, sample statistics quartiles, cell classification, correlations, spatial analysis, and quantification of specific marker expression are available for cell analysis and discovering the cell interactions.
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