首页> 外国专利> Unbiased Feature Selection in High Content Analysis of Biological Image Samples

Unbiased Feature Selection in High Content Analysis of Biological Image Samples

机译:生物图像样本高含量分析中的无偏特征选择

摘要

A high content analysis computing system, computer program product and method provides receiving two or more sets of microscopic images of respective sites of selected biological cell assay. Each set of microscopic images comprises one or more images having an aggregate field of view sufficient to encompass all of the cells within the respective site and a resolution sufficient to image cellular bodies within each of encompassed cells. For each set of microscopic images, a library of algorithms is executed that evaluate image features for each cell in each site producing a quantified feature measurement for each cell. Quantified feature measurements are compared for each one of the two or more sets of microscopic images. A subset of the library of algorithms is identified that discriminate at least two of the two sets or more microscopic images and deployed as a computer program product for evaluating additional biological cell assays.
机译:高含量分析计算系统,计算机程序产品和方法提供了接收所选生物细胞测定的各个部位的两组或更多组显微图像。每一组显微图像包括一个或多个图像,这些图像具有足以涵盖各个部位内所有细胞的聚集视场,并且具有足以对每个所涵盖细胞内的细胞体成像的分辨率。对于每组显微图像,执行算法库,以评估每个部位中每个单元格的图像特征,从而为每个单元格提供量化的特征量度。比较两组或更多组显微图像中每组的量化特征量度。识别出算法库的一个子集,该子集可区别两组或更多组显微图像中的至少两个,并被部署为计算机程序产品,用于评估其他生物细胞测定。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号