CLEMnet: Recognizing biological features in large-scale electron microscopy from fluorescence training data

Lane, Ryan; Spengler, Daniel; Karaçoban, Stijn; Wolters, Anouk; Giepmans, Ben; Hoogenboom, Jacob

doi:10.25418/crick.30869525.v1

CLEMnet: Recognizing biological features in large-scale electron microscopy from fluorescence training data

https://doi.org/10.25418/crick.30869525

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posted on 2025-12-12, 11:17 authored by Ryan LaneRyan Lane, Daniel Spengler, Stijn Karaçoban, Anouk WoltersAnouk Wolters, Ben GiepmansBen Giepmans, Jacob HoogenboomJacob Hoogenboom

<p dir="ltr">Poster presented as part of the Crick BioImage Analysis Symposium 2025.</p><p dir="ltr">Permission has been given by authors to upload to Crick Figshare. Copyright remains with the original authors.</p>

CLEMnet: Recognizing biological features in large-scale electron microscopy from fluorescence training data

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