生命科学

细胞病理学

康耐视 ViDi 可检测组织切片上的细胞异常

Cognex Cell Pathology

相关产品

VisionPro ViDi

复杂检测、零件定位、分类和 OCR 方面的突破

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将康耐视视觉和 ID 技术集成到您的机器,进行体积应用的较具经济效益的方法

组织学样品会表现出各种形式的细胞损伤。因为细胞损伤的外观是高度不可预测的并且涉及很多可能的形式,所以在没有大量编程的情况下,机器视觉可能难以识别所有可能的异常。

The Cognex ViDi Red-Analyze tool detects cell abnormalities by learning the normal appearance of a cell, including its significant but tolerable variations (for example, mitosis). The tool’s deep learning model learns to account for natural deviation amongst cell clusters, while flagging significant changes in appearance as anomalous. Based on this initial training, Cognex ViDi can dynamically segment the regions of interest exhibiting cell damage for further histological analysis. The Red-Analyze tool is also used to segment and identify specific regions of interest, such as a specific fixation medium on a microscopic slide (for example, paraffin) or other artifacts due to improper staining, simply by learning the varying appearance of the targeted zone.

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