2–4 This has led to numerous efforts to develop methods to identify and characterize these information-laden cells. 1 Given their critical role in the metastatic cascade, these rare cells serve as novel clinical biomarkers to assess the tumor burden enabling effective monitoring of therapeutic treatment strategies. Introduction Circulating tumor cells (CTCs) shed from primary tumors have been identified in the blood of cancer patients. We conclude by discussing the advances that need to be made to translate the DHM-ML approach to staining-free enumeration of actual CTCs in cancer patient blood samples. Finally, the developed DHM-ML framework was successfully applied to enumerate spiked MCF-7 breast cancer cells and SkOV3 ovarian cancer cells from lysed blood samples containing white blood cells (WBCs) at concentrations typical of label-free enrichment techniques. By applying an optimized decision threshold to mixed samples prepared in silico, the false positive rate was reduced from 1 × 10 −2 to 2.77 × 10 −4. The accuracy, sensitivity and specificity of the s-Net model was found to be higher than the off-the-shelf ML models. ![]() ![]() We developed a custom-designed light-weight shallow Network dubbed s-Net and compared its performance against off-the-shelf CNN models including ResNet-50. Computational reconstruction of the holograms was performed to localize the cells in 3D and obtain the plane of best focus images to train deep learning models. A 3D-printed module for laser assembly was developed to simplify the optical set up for holographic imaging of cells flowing through a sheath-based microfluidic device. ![]() Here, we take the first steps to address this limitation, by demonstrating staining-free enumeration of tumor cells spiked into lysed blood samples using digital holographic microscopy (DHM), microfluidics and machine learning (ML). Currently, detection of circulating tumor cells (CTCs) in cancer patient blood samples relies on immunostaining, which does not provide access to live CTCs, limiting the breadth of CTC-based applications.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |