Real-time histological evaluation of gastrointestinal tissue using non-linear microscopy.

IF 2.5 4区 医学 Q2 PATHOLOGY
Haihui Liao, Timothy D Weber, Rachel Yixuan Tan, Jeffrey Liu, James G Fujimoto, Seymour Rosen, Yue Sun
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引用次数: 0

Abstract

Aim: Over the past several decades, optical sectioning technologies have emerged as valuable tools for evaluating tissue histology. Unlike conventional tissue sectioning, these technologies allow for real-time intraoperative assessments and more efficient tissue triage. In the era of digital pathology, the demand for high-quality, high-throughput optical sectioning platforms is increasing, as they eliminate the need for traditional slide preparation and scanning, potentially transforming anatomical pathology workflows. While non-linear microscopy (NLM) has demonstrated promise in histological evaluation across various tissue types, its application in gastrointestinal tissue assessment remains unexplored.

Methods: This study extends the use of NLM to gastrointestinal histology and develops an image atlas to highlight its potential as an automated digital pathology platform.

Results: Our results indicate that NLM generates diagnostic-quality images comparable to traditional H&E slides. Moreover, NLM provides valuable three-dimensional (3D) spatial information, improving clinical evaluations of key histological features such as depth of invasion, lymphovascular and perineural invasion, tumour budding and margin assessment. Time-lapse videos further demonstrate NLM's capability to capture 3D histological structures up to a depth of approximately 100 µm.

Conclusion: Our findings demonstrate that NLM can serve as an optical sectioning platform for gastrointestinal histology, providing both diagnostic-quality imaging and advanced 3D visualisation. The introduction of an NLM-based atlas has the potential to redefine anatomical pathology workflows and advance digital pathology image analysis.

使用非线性显微镜对胃肠道组织进行实时组织学评估。
目的:在过去的几十年里,光学切片技术已经成为评估组织组织学的宝贵工具。与传统的组织切片不同,这些技术允许实时术中评估和更有效的组织分诊。在数字病理学时代,对高质量、高通量光学切片平台的需求正在增加,因为它们消除了传统的切片制备和扫描的需要,可能会改变解剖病理学的工作流程。虽然非线性显微镜(NLM)在各种组织类型的组织学评估中表现出了希望,但其在胃肠道组织评估中的应用仍未探索。方法:本研究将NLM的应用扩展到胃肠道组织学,并开发了一个图像图谱,以突出其作为自动化数字病理平台的潜力。结果:我们的研究结果表明,NLM生成的诊断质量图像与传统的H&E切片相当。此外,NLM提供了有价值的三维空间信息,改善了关键组织学特征的临床评估,如浸润深度、淋巴血管和神经周围浸润、肿瘤萌芽和边缘评估。延时视频进一步展示了NLM捕获深度约100微米的3D组织结构的能力。结论:我们的研究结果表明NLM可以作为胃肠道组织学的光学切片平台,提供诊断质量的成像和先进的3D可视化。基于nlm的图谱的引入有可能重新定义解剖病理工作流程,并推进数字病理图像分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
2.90%
发文量
113
审稿时长
3-8 weeks
期刊介绍: Journal of Clinical Pathology is a leading international journal covering all aspects of pathology. Diagnostic and research areas covered include histopathology, virology, haematology, microbiology, cytopathology, chemical pathology, molecular pathology, forensic pathology, dermatopathology, neuropathology and immunopathology. Each issue contains Reviews, Original articles, Short reports, Correspondence and more.
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