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TruaceTracing the truth around AIMonday, September 14, 2026
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TRV-2026-1087Certified recordPeer-reviewed

Current quality challenges in H&E preparation: The critical foundation for increased use of digital pathology and AI emergence

Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise routinely mitigates potential issues due to quality variability into or across laboratories, ensuring diagnostic accuracy. However, as artificial intelligence (AI) induced by whole slide imaging (WSI) emerges as a future advancement in pathology, a shift toward greater technical standardisation of the preparations or adaptive algorithms deserves consideration. This study examined longitudinal data (2019-…

Health · The Trace — both readings · certified 2026-09-14 · v1 · article view · machine-readable

Current reading — gain

Standardizing pre-analytical H&E preparation before AI deployment can reduce computational burden and deployment costs while supporting robust AI performance in pathology.

Current reading — problem

Up to a quarter of H&E slides in French labs showed technical preparation imperfections and up to 23.8% showed suboptimal staining, creating inconsistent inputs that undermine robust AI performance from whole slide imaging.

What this doesn’t fix

Findings are bounded to the French EQA system and vary by tissue type and year, limiting generalizability to other countries or lab networks.

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Truvace Impact Record TRV-2026-1087, v1: “Current quality challenges in H&E preparation: The critical foundation for increased use of digital pathology and AI emergence.” Truvace, 2026-09-14. /record/TRV-2026-1087 (accessed at citation time). sha256 baefb65c8922ab36…

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