Boostlet.Js: Medical Image Processing Plugins for the Web via Javascript Injection

Can web-based image processing and visualization tools easily integrate into existing websites without significant time and effort? Our Boostlet.js library addresses this challenge by providing an open-source, JavaScript-based web framework to enable additional image processing functionalities. Boost-let examples include kernel filtering, image captioning, data visualization, segmentation, and web-optimized machine-learning models. To achieve this, Boostlet.js uses a browser bookmark to inject a user-friendly plugin selection tool called PowerBoost into any host website. Boostlet provides on-site access to a standard API independent of any visualization framework for pixel data and scene manipulation. Boostlet is natively integrated into SliceDrop, a web-based, interactive viewer for medical imaging data. Boostlets provide a modular architecture and client-side processing capabilities to apply advanced image-processing techniques using consumer-level hardware. The code is open-source and available.