Translation of an esophagus histopathological FT-IR imaging model to a fast quantum cascade laser modality.,Journal of Biophotonics

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Translation of an esophagus histopathological FT-IR imaging model to a fast quantum cascade laser modality.
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-06-01 , DOI: 10.1002/jbio.202000122
Danuta Liberda ₁ , Michael Hermes ₂ , Paulina Koziol ₃ , Nick Stone ₂ , Tomasz P Wrobel _{1,

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Affiliation

The technical progress in fast quantum cascade laser (QCL) microscopy offers a platform where chemical imaging becomes feasible for clinical diagnostics. QCL systems allow the integration of previously developed FT‐IR‐based pathology recognition models in a faster workflow. The translation of such models requires a systematic approach, focusing only on the spectral frequencies that carry crucial information for discrimination of pathologic features. In this study, we optimize an FT‐IR‐based histopathological method for esophageal cancer detection to work with a QCL system. We explore whether the classifier's performance is affected by paraffin presence from tissue blocks compared to removing it chemically. Working with paraffin‐embedded samples reduces preprocessing time in the lab and allows samples to be archived after analysis. Moreover, we test, whether the creation of a QCL model requires a preestablished FTIR model or can be optimized using solely QCL measurements.

中文翻译：

将食道组织病理学FT-IR成像模型转换为快速量子级联激光模态。

快速量子级联激光（QCL）显微镜技术的进步为化学成像在临床诊断中变得可行提供了一个平台。QCL系统允许以更快的工作流程集成先前开发的基于FT-IR的病理学识别模型。这种模型的翻译需要一种系统的方法，仅关注那些携带关键信息以鉴别病理特征的频谱频率。在这项研究中，我们优化了基于FT-IR的组织病理学方法，用于食道癌检测，以与QCL系统配合使用。我们探讨了与化学去除相比，分类器的性能是否受组织块中石蜡的存在影响。使用石蜡包埋的样品可以减少实验室中的预处理时间，并允许样品在分析后进行存档。此外，

更新日期：2020-06-01

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