Advancements in the Implementation of Artificial Intelligence for Imaging and Image Analysis.

Authors

Mariana De Niz, David Kirchenbuechler, Peter Dluhy, Nicolas Piguel, Constadina Arvanitis

Published in

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. Volume 32. Issue 4. Jul 01, 2026.

Abstract

Artificial intelligence (AI) is rapidly transforming biological and biomedical research. While AI has been used for several decades, it has only relatively recently gained huge momentum in these fields. In microscopy, AI has been integrated into the entire imaging workflow, from experimental design to data dissemination. Modern microscopes produce higher volumes of ever more complex data, and the need for tools to handle experimental workflows and the data arising from them is taxing the capacity of classical methods. In this work, we discuss how AI has been implemented across imaging experiments and the advantages and challenges faced at each step.

PMID:
42536429
Bibliographic data and abstract were imported from PubMed on 01 Aug 2026.

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