Highly efficient acoustophoretic single cell-supernatant separation inside nanoliter droplets

2020 ◽  
Vol 148 (4) ◽  
pp. 2785-2785
Author(s):  
Michael Gerlt ◽  
Dominik Haidas ◽  
Alexandre Ratschat ◽  
Philipp Suter ◽  
Petra Dittrich ◽  
...  
Keyword(s):  
Single Cell ◽  
Highly Efficient ◽  
Cell Supernatant

A highly efficient introduction system for single cell- ICP-MS and its application to detection of copper in single human red blood cells

Talanta ◽  
2020 ◽  
Vol 206 ◽  
pp. 120174 ◽  
Author(s):  
Yupin Cao ◽  
Jinsu Feng ◽  
Lifu Tang ◽  
Chunhe Yu ◽  
Guichun Mo ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Single Cell ◽  
Blood Cells ◽  
Highly Efficient ◽  
Human Red Blood Cells ◽  
Icp Ms

Highly efficient single-cell analysis of microbial cells by time-resolved inductively coupled plasma mass spectrometry

2014 ◽  
Vol 29 (9) ◽  
pp. 1598-1606 ◽  
Author(s):  
Shin-ichi Miyashita ◽  
Alexander S. Groombridge ◽  
Shin-ichiro Fujii ◽  
Ayumi Minoda ◽  
Akiko Takatsu ◽  
...  
Keyword(s):  
Single Cell ◽  
Inductively Coupled Plasma ◽  
Single Cell Analysis ◽  
High Time Resolution ◽  
Time Resolved ◽  
Microbial Cells ◽  
Inductively Coupled ◽  
Highly Efficient ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

Highly efficient single-cell elemental analysis of microbial cells was achieved using a developed ICP-MS system with approximately 100% cell introduction efficiency and high time resolution.

scholarly journals Efficient analysis of a small number of cancer cells at the single-cell level using an electroactive double-well array

Lab on a Chip ◽  
2016 ◽  
Vol 16 (13) ◽  
pp. 2440-2449 ◽  
Author(s):  
Soo Hyeon Kim ◽  
Teruo Fujii
Keyword(s):  
Single Cell ◽  
Cancer Cells ◽  
Single Cells ◽  
Capture Efficiency ◽  
Single Cell Level ◽  
Cell Capture ◽  
Cell Level ◽  
Cell Trapping ◽  
Highly Efficient ◽  
Single Cell Trapping

The electroactive double well-array consists of trap-wells for highly efficient single-cell trapping using dielectrophoresis (cell capture efficiency of 96 ± 3%) and reaction-wells that confine cell lysates for analysis of intracellular materials from single cells.

Nano-localized single-cell nano-electroporation

Lab on a Chip ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 4194-4204
Author(s):  
Tuhin Subhra Santra ◽  
Srabani Kar ◽  
Hwan-You Chang ◽  
Fan-Gang Tseng
Keyword(s):  
Cell Viability ◽  
Single Cell ◽  
Intracellular Delivery ◽  
High Cell ◽  
Highly Efficient

We demonstrated nano-electroporation technique to create transient nano-holes at single or multiple nano-localized positions of a single-cell for a highly efficient intracellular delivery with high cell viability.

scholarly journals Single cell electron collectors for highly efficient wiring-up electronic abiotic/biotic interfaces

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Yang-Yang Yu ◽  
Yan-Zhai Wang ◽  
Zhen Fang ◽  
Yu-Tong Shi ◽  
Qian-Wen Cheng ◽  
...  
Keyword(s):  
Single Cell ◽  
Highly Efficient

scholarly journals Highly efficient single cell arraying by integrating acoustophoretic cell pre-concentration and dielectrophoretic cell trapping

Lab on a Chip ◽  
2015 ◽  
Vol 15 (22) ◽  
pp. 4356-4363 ◽  
Author(s):  
Soo Hyeon Kim ◽  
Maria Antfolk ◽  
Marina Kobayashi ◽  
Shohei Kaneda ◽  
Thomas Laurell ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Microfluidic Devices ◽  
Cell Trapping ◽  
Highly Efficient ◽  
Microwell Array ◽  
Novel Approach

We present a novel approach for high throughput single cell arraying by integrating two original microfluidic devices: an acoustofluidic chip and an electroactive microwell array.

scholarly journals SC3s - efficient scaling of single cell consensus clustering to millions of cells

2021 ◽  
Author(s):  
Martin Hemberg ◽  
Fu Xiang Quah
Keyword(s):  
Single Cell ◽  
Cell Types ◽  
Large Datasets ◽  
Efficient Algorithms ◽  
Unsupervised Clustering ◽  
Consensus Clustering ◽  
Crucial Step ◽  
Highly Efficient ◽  
Technological Advances ◽  
Number Of Cells

Technological advances have paved the way for single cell RNAseq (scRNAseq) datasets containing several million cells 1. Such large datasets require highly efficient algorithms to enable analyses at reasonable times and hardware requirements 2. A crucial step in single cell workflows is unsupervised clustering, which aims to delineate putative cell types or cell states based on transcriptional similarity 3. Here, we present a highly efficient k-means based approach, and we demonstrate that it scales linearly with the number of cells with regards to time and memory.

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