Tag Archives: fit5
![](https://blogs.cornell.edu/kirbyresearch/files/2016/10/Capture-pkm7oq-225x158.jpg)
Submitted, 2016: Automated electrorotation shows the electrokinetic separation in pancreatic cancer cells is robust to acquired chemotherapy resistance, serum starvation, and epithelial-to-mesenchymal transition
![](https://blogs.cornell.edu/kirbyresearch/files/2016/04/2016_lannin_cytometrya_thumb-18qwgqj-225x158.png)
Accepted, Cytometry A, 2016: Comparison and Optimization of Machine Learning Methods for Automated Classification of Circulating Tumor Cells
![3 Aug 2014: Gordon Research Conference on Rare Cells in Circulation: Parallel capture of pancreatic cancer cells](https://blogs.cornell.edu/kirbyresearch/wp-content/themes/gridster-lite/img/defaultthumb.png)
3 Aug 2014: Gordon Research Conference on Rare Cells in Circulation: Parallel capture of pancreatic cancer cells
![](https://blogs.cornell.edu/kirbyresearch/files/2016/07/2014_rhim_gastroenterology_thumb-1xbkzb4-225x158.jpg)
Gastroenterology, 2014: Detection of Circulating Pancreas Epithelial Cells in Patients With Pancreatic Cystic Lesions
![](https://blogs.cornell.edu/kirbyresearch/files/2014/02/2014_thege_labchip_thumb-1qq8lld-225x158.png)
Lab on a Chip, 2014: Microfluidic immunocapture of circulating pancreatic cells using parallel EpCAM and MUC1 capture: characterization, optimization and downstream analysis
![](https://blogs.cornell.edu/kirbyresearch/files/2014/01/201401_smith_lab_automation-2n7m698-225x158.jpg)
18 Jan 2014: Society for Lab Automation and Screening: Circulating tumor cell (CTC) cancer biomarkers using geometrically enhanced differential immunocapture (GEDI) microdevices
![](https://blogs.cornell.edu/kirbyresearch/files/2013/10/201310_thege_utas_talk-147dbvg-225x158.jpg)
27 Oct 2013: MicroTAS: Parallelized microfluidic immunocapture of circulating pancreas cells for the early detection of pancreatic carcinogenesis
![25 Sep 2013: BMES: Machine Learning Outperforms Manual Counting for Classifying Circulating Tumor Cells from Cancer Patients](https://blogs.cornell.edu/kirbyresearch/wp-content/themes/gridster-lite/img/defaultthumb.png)
25 Sep 2013: BMES: Machine Learning Outperforms Manual Counting for Classifying Circulating Tumor Cells from Cancer Patients
![](https://blogs.cornell.edu/kirbyresearch/files/2013/09/201309_thege_bmes-126rhxw-225x158.jpg)
25 Sep 2013: BMES: Multiplexed Microfluidic Immunocapture of Circulating Pancreas Cells for the Early Detection of Pancreatic Carcinogenesis
![9 Jun 2013: Gordon Research Conference on Microfluidics: Machine Learning Outperforms Manual Counting for Classifying Circulating Tumor Cells from Cancer Patients](https://blogs.cornell.edu/kirbyresearch/wp-content/themes/gridster-lite/img/defaultthumb.png)