Scalable Interactive Visualizations and AI-based Image Processing in the WIPP Image Analytics

Scalable Interactive Visualizations and AI-based Image Processing in the WIPP Image Analytics Platform | Mylene Simon | October 29th, Virtual I2K 2024
Authors: Mylene Simon, NIST; Timothee Kheyrkhah, NIST; Peter Bajcsy, NIST, Grace Ruei, NIST; Timothy Blattner, NIST; Antoine Meyer, NIST
Description: This workshop will present WIPP (Web Image Processing Pipelines), an Open Source Image Analytics Platform offering scalable interactive image visualization and container-based scientific workflows. The presentation will start with an overview of WIPP and the concept of FAIR containerized computational software, and follow with a demonstration of the platform capabilities through biological use cases, including interactive deep zoom image exploration, configurable computational workflows and AI-based plugins. The workshop will conclude with a discussion about current work enabling traceable and iterative AI model re-training in WIPP through the interfacing with image annotation platforms.
Pre-Workshop Instructions: N/A
Keywords: Scientific computational workflows, scalable visualizations, image processing, microscopy images, image annotations, AI, containerized software