MorphoCloud: Democratizing Access to High-Performance Computing for Morphological Data Analysis
A. Murat Maga, Jean-Christophe Fillion-Robin

TL;DR
MorphoCloud is a cloud-based platform that provides on-demand high-performance computing resources, including GPU acceleration, to facilitate complex morphological data analysis via a web browser, democratizing access for researchers and educators.
Contribution
The paper introduces MorphoCloud, a novel cloud platform that bridges the compute gap by offering accessible, research-grade, GPU-accelerated analysis environments for morphological datasets.
Findings
Enables on-demand access to high-performance computing via web browser
Supports complex 3D morphological analysis and AI-assisted segmentation
Reduces hardware barriers for institutions with limited resources
Abstract
The digitization of biological specimens has revolutionized the field of morphology, creating large collections of 3D data, and microCT in particular. This revolution was initially supported by the development of open-source software tools, specifically the development of SlicerMorph extension to the open-source image analytics platform 3D Slicer. Through SlicerMorph and 3D Slicer, biologists, morphologists and scientists in related fields have all the necessary tools to import, visualize and analyze these complex and large datasets in a single platform that is flexible and expandible, without the need of proprietary software that hinders scientific collaboration and sharing. Yet, a significant "compute gap" remains: While data and software are now open and accessible, the necessary high-end computing resources to run them are often not equally accessible in all institutions, and…
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Taxonomy
TopicsCell Image Analysis Techniques · Genetics, Bioinformatics, and Biomedical Research · Morphological variations and asymmetry
