International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Cloud-based Scientific Image Analysis: A Revolution in Large-scale Data Processing

Author(s) Chakradhar Sunkesula
Country United States
Abstract Analyzing massive image databases poses substantial computational and financial problems in the field of
scientific study. Conventional cloud computing techniques can be costly, and traditional on-premises
computing resources frequently prove inadequate. This article offers a novel approach that uses cloud
computing in a scalable and economical way to transform scientific picture analysis. Researchers may
now effectively process large picture collections by integrating image analysis software through
containerization and deploying it using Amazon Web Services technologies. Pharmaceutical research,
medical imaging, environmental science, and materials science are just a few of the scientific fields where
the application shows impressive gains in processing speed, cost reduction, and research accessibility. By
increasing research efficiency, facilitating greater international collaboration, and democratizing access to
sophisticated image analysis capabilities, this article has had a substantial impact on scientific research.
Keywords Cloud-Based Image Analysis, Scientific Data Processing, Docker Containerization, High-Content Screening, Research Infrastructure Optimization
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-13
Cite This Cloud-based Scientific Image Analysis: A Revolution in Large-scale Data Processing - Chakradhar Sunkesula - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32938
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32938
Short DOI https://doi.org/g8wkms
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