aiSEGcell: User-friendly deep learning-based segmentation of nuclei in transmitted light images

• Daniel Schirmacher ,

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: daniel.schirmacher@bsse.ethz.ch (DS); timm.schroeder@bsse.ethz.ch (TS)

  Affiliation Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

  https://orcid.org/0000-0001-8788-4811

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• Ümmünur Armagan,

  Roles Data curation, Formal analysis, Methodology, Validation, Visualization

  Affiliation Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

  https://orcid.org/0009-0001-8978-7254

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• Yang Zhang,

  Roles Resources, Validation, Writing – original draft, Writing – review & editing

  Affiliation Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

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• Tobias Kull,

  Roles Resources, Validation

  Affiliation Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

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• Markus Auler,

  Roles Resources, Validation

  Affiliation Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

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• Timm Schroeder

  Roles Conceptualization, Funding acquisition, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: daniel.schirmacher@bsse.ethz.ch (DS); timm.schroeder@bsse.ethz.ch (TS)

  Affiliation Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

  https://orcid.org/0000-0001-9320-0252

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