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PATH-26. Artificial-intelligence-based morphometric profiling reveals distinctive nuclear characteristics of IDH-mutant vs. IDH-wildtype tumors and non-tumorous tissue at single-cell resolution in label-free Raman imaging

Year: 2025
Type: article
Study design: Observational Study
DOI: 10.1093/neuonc/noaf201.0978
Authors: David Reinecke, Minjun Park, Nicolas Goff, John Markert, Nader Maarouf, Andrew Smith, Todd Hollon, Abhishek Bhattacharya, Eric Landgraf, Cheng Jiang, Asadur Chowdury, Xinhai Hou, Sandra Camela-Piragua, Anna-Katharina Meißner, Gina Fürtjes, Nina Müller, Abdulkader Al-Shughri, Lisa Körner, Georg Widhalm, Thomas Roetzer-Pejrimovsky, Shawn Hervey-Jumper, Chris Freudiger, Roland Goldbrunner, John Golfinos, Volker Neuschmelting, Daniel Orringer
Institutions: University of Cologne, New York University, University of Michigan, Medical University of Vienna, University of California, San Francisco, Invenio Imaging (United States)
Language: English
Subfield: Biophysics
Open Access status: closed
OpenAlex ID: W4416140261
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