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Digital Pathology: Identifying Spongiosis in Unstained Histopathology Specimen

机译:数字病理学:鉴定未染色的组织病理学标本中的细菌症

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Histopathological specimens are prepped through a process called staining prior to analysis by the pathologist. Staining of a pathological specimen is a standard procedure used to increase the contrast between the cell and tissue structures against the background. Unfortunately, staining is a lengthy process that requires hours of preparation. Moreover, the chemicals used to perform the procedure can affect the specimen's characteristics. The entire problem of staining can be eliminated if detection and diagnosis can be performed on unstained specimen. However the low-contrast unstained samples can seriously affect the diagnosis reliability. Currently, no established technique exists for the detection and diagnosis of unstained histhopathological samples. This project aims to detect and diagnose spongiosis, a type of cerebral edema, in unstained histopathological samples taken from poultry brains. Success of this research is the first step towards detecting various classes of cerebral edema. It is a fast and accurate clinical tool that greatly enhances the analytic capability of the histopathological laboratory. The computer-aided diagnosis enables short turnaround time and higher consistency in the histopathological laboratory that services hospitals and clinics.
机译:组织病理学标本通过病理学家分析前通过称为染色的方法。病理标本的染色是用于增加电池和组织结构与背景之间的对比度的标准程序。不幸的是,染色是一种需要数小时准备的漫长过程。此外,用于执行该程序的化学品可以影响标本的特征。如果在未染色的样本上进行检测和诊断,则可以消除染色的整个问题。然而,低对比度未染色的样本可以严重​​影响诊断可靠性。目前,没有建立的技术用于检测和诊断未染色的任状病理样品。该项目旨在发现和诊断海绵层,一类脑水肿,家禽的大脑取出未染色组织病理学样本英寸该研究的成功是检测各类脑水肿的第一步。它是一种快速准确的临床工具,大大提高了组织病理学实验室的分析能力。计算机辅助诊断使得在服务医院和诊所的组织病理学实验室中的周转时间和更高的一致性。

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