Integrated Microfluidic Handheld Cell Sorter for High-Throughput Label-Free Malignant Tumor Cell Sorting

Author(s):  
Fengtao Jiang ◽  
Nan Xiang
Lab on a Chip ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 4235-4245
Author(s):  
Yingkai Lyu ◽  
Xiaofei Yuan ◽  
Andrew Glidle ◽  
Yuchen Fu ◽  
Hitoshi Furusho ◽  
...  

We report an automated, high throughput Raman activated cell sorter using three-dimensional microfluidics (3D-RACS).


1988 ◽  
Vol 24 (8) ◽  
pp. 753-758 ◽  
Author(s):  
Shinobu Miyauchi ◽  
Takamasa Moroyama ◽  
Seishi Kyoizumi ◽  
Jun-Ichi Asakawa ◽  
Tetsuji Okamoto ◽  
...  

2021 ◽  
Author(s):  
Matthew Lindley ◽  
Julia Gala de Pablo ◽  
Jorgen Walker Peterson ◽  
Akihiro Isozaki ◽  
Kotaro Hiramatsu ◽  
...  

Cell sorting is the workhorse of biological research and medicine. Cell sorters are commonly used to sort heterogeneous cell populations based on their intrinsic features. Raman-activated cell sorting (RACS) has recently received considerable interest by virtue of its ability to discriminate cells by their intracellular chemical content, in a label-free manner. However, broad deployment of RACS beyond lab-based demonstrations is hindered by a fundamental trade-off between throughput and measurement bandwidth (i.e., cellular information content). Here we overcome this trade-off and demonstrate broadband RACS in the fingerprint region (300 - 1,600 cm-1) with a record high throughput of ~50 cells per second. This represents a 100x throughput increase compared to previous demonstrations of broadband fingerprint-region RACS. To show the utility of our RACS, we demonstrate real-time label-free sorting of microalgal cells based on their accumulation of carotenoids and polysaccharide granules. These results hold promise for medical, biofuel, and bioplastic applications.


2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 133-133
Author(s):  
Elena Bonora ◽  
Federica Isidori ◽  
Isotta Bozzarelli ◽  
Marialuisa Lugaresi ◽  
Deborah Malvi ◽  
...  

Abstract Background In EAC clinical, histological, immune-histochemical and genetic patterns were documented, which support the existence of biologically different sub populations. We studied genetic intra/inter tumor heterogeneity of EAC with a new technology based on sorting of specific cell populations. Methods Formalin embedded material obtained from 16 EAC surgical specimens, classified according to the presence/absence of intestinal metaplasia in esophagus (BIM) and stomach (GIM) in BIM + GIM- (Barret's like), BIM-GIM- (cardio-pyloric like), BIM—GIM + (gastric like) types, was processed using a high-throughput cell sorting technology. Stromal and tumor cell populations were sorted based on antibodies against vimentin/pan-cytokeratin and on DNA content. Targeted resequencing on DNA extracted from the sorted cells was performed for 63 cancer-related genes (OncoSeek panel). Results In 11/16 (68.75%) of cases a mutation in TP53 was detected, and in 2 we observed CDKN2A (TP53 regulator) mutations. In Barret's like and Gastric like sub types only mutations of TP53 or TP53regulator genes were present. In pyloric like type TP53 and/or other different mutations of whom 2 in HNF1A were detected (Figure 1). Conclusion Selective sorting led to new patterns of EAC tumor mutational status and heterogeneity, among others somatic mutations in HNF1A not previously found. Parallel analysis of unsorted samples failed to detect these specific mutations. The cardio-pyloric like sub type contains mutational patterns different than those of Barret's and gastric like types. Further research on additional cases is necessary to confirm these findings. Disclosure All authors have declared no conflicts of interest.


2004 ◽  
Vol 15 (3) ◽  
pp. 192
Author(s):  
Young Jae Kim ◽  
Yoon Young Lee ◽  
Young Me Lee ◽  
Sung Yeoul Chang ◽  
Seung Ryong Kim ◽  
...  

Lab on a Chip ◽  
2015 ◽  
Vol 15 (19) ◽  
pp. 3870-3879 ◽  
Author(s):  
Liqiang Ren ◽  
Yuchao Chen ◽  
Peng Li ◽  
Zhangming Mao ◽  
Po-Hsun Huang ◽  
...  

We developed a standing surface acoustic wave (SSAW)-based cell sorting device. The throughput of our device has been significantly improved by using focused interdigital transducers (FIDTs) as SSAW generator.


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