Version 1
: Received: 15 August 2023 / Approved: 16 August 2023 / Online: 17 August 2023 (09:50:04 CEST)
How to cite:
Shah, S. Revolutionizing Biology through Neural Networks: A Deep Dive into Microscopy Image Processing and Drawings. Preprints2023, 2023081220. https://doi.org/10.20944/preprints202308.1220.v1
Shah, S. Revolutionizing Biology through Neural Networks: A Deep Dive into Microscopy Image Processing and Drawings. Preprints 2023, 2023081220. https://doi.org/10.20944/preprints202308.1220.v1
Shah, S. Revolutionizing Biology through Neural Networks: A Deep Dive into Microscopy Image Processing and Drawings. Preprints2023, 2023081220. https://doi.org/10.20944/preprints202308.1220.v1
APA Style
Shah, S. (2023). Revolutionizing Biology through Neural Networks: A Deep Dive into Microscopy Image Processing and Drawings. Preprints. https://doi.org/10.20944/preprints202308.1220.v1
Chicago/Turabian Style
Shah, S. 2023 "Revolutionizing Biology through Neural Networks: A Deep Dive into Microscopy Image Processing and Drawings" Preprints. https://doi.org/10.20944/preprints202308.1220.v1
Abstract
This article explores the transformative role of neural networks in the realm of biology, particularly within microscopy image processing and illustrations. Neural networks have revolutionized cell segmentation and analysis, enabling precise delineation of cell boundaries and tracking of cellular behaviours. They excel in detecting subcellular structures, unravelling intricate organelle interactions. In 3D image reconstruction, neural networks navigate volumetric datasets, enhancing our understanding of spatial cellular architecture. These networks enhance disease diagnosis by identifying anomalies and irregularities, potentially revolutionizing early detection and classification. Moreover, neural networks restore and enhance microscopy images, unveiling hidden details. Lastly, they bridge art and science, fostering captivating biological art and enriching science communication. As neural networks evolve, they promise a future of limitless possibilities, weaving together technology, science, and art to illuminate the microscopic realm in unprecedented ways.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
