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<p>Imaging technologies are being increasingly used in biomedical research and experimental toxicology to gather morphological and functional information from cellular models. There is a concrete opportunity of incorporating imaging-based in vitro methods in international guidelines to respond to regulatory requirements with human relevant data. To translate these methods from R&amp;D to international regulatory acceptance, the community needs to implement test methods under quality management systems, assess inter-laboratory transferability, and demonstrate data reliability and robustness. This article summarises current challenges associated with image acquisition, image analysis, including artificial intelligence,&#xa0;and data management of imaging-based methods, with examples from the developmental neurotoxicity in vitro battery and phenotypic profiling assays. The article includes considerations on specific needs and potential solutions to design and implement future validation and transferability&#xa0;studies.</p>

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Bridging imaging-based in vitro methods from biomedical research to regulatory toxicology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月13日

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  • Monica Piergiovanni,
  • Milena Mennecozzi,
  • Erio Barale-Thomas,
  • Davide Danovi,
  • Sebastian Dunst,
  • David Egan,
  • Aurora Fassi,
  • Matthew Hartley,
  • Philipp Kainz,
  • Katharina Koch,
  • Sylvia E. Le Dévédec,
  • Iris Mangas,
  • Elena Miranda,
  • Jo Nyffeler,
  • Enrico Pesenti,
  • Fernanda Ricci,
  • Christopher Schmied,
  • Alexander Schreiner,
  • Nadine Stokar-Regenscheit,
  • Jason R. Swedlow,
  • Virginie Uhlmann,
  • Fredrik C. Wieland,
  • Amy Wilson,
  • Maurice Whelan

摘要

Imaging technologies are being increasingly used in biomedical research and experimental toxicology to gather morphological and functional information from cellular models. There is a concrete opportunity of incorporating imaging-based in vitro methods in international guidelines to respond to regulatory requirements with human relevant data. To translate these methods from R&D to international regulatory acceptance, the community needs to implement test methods under quality management systems, assess inter-laboratory transferability, and demonstrate data reliability and robustness. This article summarises current challenges associated with image acquisition, image analysis, including artificial intelligence, and data management of imaging-based methods, with examples from the developmental neurotoxicity in vitro battery and phenotypic profiling assays. The article includes considerations on specific needs and potential solutions to design and implement future validation and transferability studies.