Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-02-23 DOI:10.1186/s13000-024-01461-w
Catriona Dunn, David Brettle, Martin Cockroft, Elizabeth Keating, Craig Revie, Darren Treanor
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Abstract

Background: Staining tissue samples to visualise cellular detail and tissue structure is at the core of pathology diagnosis, but variations in staining can result in significantly different appearances of the tissue sample. While the human visual system is adept at compensating for stain variation, with the growth of digital imaging in pathology, the impact of this variation can be more profound. Despite the ubiquity of haematoxylin and eosin staining in clinical practice worldwide, objective quantification is not yet available. We propose a method for quantitative haematoxylin and eosin stain assessment to facilitate quality assurance of histopathology staining, enabling truly quantitative quality control and improved standardisation.

Methods: The stain quantification method comprises conventional microscope slides with a stain-responsive biopolymer film affixed to one side, called stain assessment slides. The stain assessment slides were characterised with haematoxylin and eosin, and implemented in one clinical laboratory to quantify variation levels.

Results: Stain assessment slide stain uptake increased linearly with duration of haematoxylin and eosin staining (r = 0.99), and demonstrated linearly comparable staining to samples of human liver tissue (r values 0.98-0.99). Laboratory implementation of this technique quantified intra- and inter-instrument variation of staining instruments at one point in time and across a five-day period.

Conclusion: The proposed method has been shown to reliably quantify stain uptake, providing an effective laboratory quality control method for stain variation. This is especially important for whole slide imaging and the future development of artificial intelligence in digital pathology.

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病理学 H&E 染色定量评估:新型系统的开发与临床评估。
背景:对组织样本进行染色以观察细胞细节和组织结构是病理诊断的核心,但染色的差异会导致组织样本的外观大相径庭。虽然人类视觉系统善于对染色差异进行补偿,但随着病理学数字成像技术的发展,这种差异的影响可能会更加深远。尽管血红素和伊红染色在全球临床实践中无处不在,但目前还没有客观的量化方法。我们提出了一种对血红素和伊红染色进行定量评估的方法,以促进组织病理学染色的质量保证,实现真正的定量质量控制并提高标准化程度:染色定量方法包括传统的显微载玻片,载玻片的一面贴有染色反应生物聚合物薄膜,称为染色评估载玻片。用血红素和伊红对染色评估玻片进行鉴定,并在一家临床实验室实施,以量化变异水平:结果:染色评估玻片的染色吸收率随血红素和伊红染色时间的延长而线性增加(r = 0.99),并显示出与人体肝脏组织样本具有线性可比性的染色效果(r 值为 0.98-0.99)。实验室采用该技术对染色仪器在某一时点和五天内仪器内部和仪器之间的差异进行了量化:结论:所提出的方法能可靠地量化染色吸收,为实验室提供了一种有效的染色变异质量控制方法。这对于全切片成像和未来数字病理学人工智能的发展尤为重要。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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