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Agentic AI Systems for BioImage Data Analysis (and other tasks)

Year: 2026

Type: article

Abstract: In this slide deck we cover topics around modern artificial intelligence systems, AI-agents, and how they can assist with bio-image data analysis tasks. We learn how well they perform, how they work under the hood, what current challenges in this domain are and what developments we might expect in the future.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23929289

Author: Haase, Robert

Institutions: Center for Scalable Data Analytics and Artificial Intelligence, Leipzig University

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7225172006

FWCI:

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