TY - JOUR
T1 - Bridging imaging-based in vitro methods from biomedical research to regulatory toxicology
AU - Piergiovanni, Monica
AU - Mennecozzi, Milena
AU - Barale-Thomas, Erio
AU - Danovi, Davide
AU - Dunst, Sebastian
AU - Egan, David
AU - Fassi, Aurora
AU - Hartley, Matthew
AU - Kainz, Philipp
AU - Koch, Katharina
AU - Le Dévédec, Sylvia E.
AU - Mangas, Iris
AU - Miranda, Elena
AU - Nyffeler, Jo
AU - Pesenti, Enrico
AU - Ricci, Fernanda
AU - Schmied, Christopher
AU - Schreiner, Alexander
AU - Stokar-Regenscheit, Nadine
AU - Swedlow, Jason R.
AU - Uhlmann, Virginie
AU - Wieland, Fredrik C.
AU - Wilson, Amy
AU - Whelan, Maurice
N1 - Publisher Copyright:
© European Union and The Authors 2025.
PY - 2025/4
Y1 - 2025/4
N2 - 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.
AB - 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.
KW - 3Rs
KW - Artificial intelligence
KW - High content imaging
KW - Imaging-based in vitro methods
KW - Regulatory toxicology
KW - Validation
UR - http://www.scopus.com/inward/record.url?scp=85217821730&partnerID=8YFLogxK
U2 - 10.1007/s00204-024-03922-z
DO - 10.1007/s00204-024-03922-z
M3 - Review article
C2 - 39945818
AN - SCOPUS:85217821730
SN - 0340-5761
VL - 99
SP - 1271
EP - 1285
JO - Archives of Toxicology
JF - Archives of Toxicology
IS - 4
ER -