Recent advancements in optofluidics-based single-cell analysis: optical on-chip cellular manipulation, treatment, and property detection

Lab on a Chip ◽  
2014 ◽  
Vol 14 (7) ◽  
pp. 1230-1245 ◽  
Author(s):  
Nien-Tsu Huang ◽  
Hua-li Zhang ◽  
Meng-Ting Chung ◽  
Jung Hwan Seo ◽  
Katsuo Kurabayashi
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Cellular Manipulation ◽  
On Chip

Optofluidic techniques could evolve to perform a series of single-cell analysis processes, including manipulation, treatment, and property detection.

scholarly journals Massively parallel quantification of phenotypic heterogeneity in single cell drug responses

2020 ◽  
Author(s):  
Benjamin B. Yellen ◽  
Jon S. Zawistowski ◽  
Eric A. Czech ◽  
Caleb I. Sanford ◽  
Elliott D. SoRelle ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Myeloid Leukemia ◽  
Single Cell ◽  
Myeloid Leukemia ◽  
Single Cell Analysis ◽  
Phenotypic Heterogeneity ◽  
Massively Parallel ◽  
Cell Analysis ◽  
On Chip ◽  
Acute Myeloid

AbstractSingle cell analysis tools have made significant advances in characterizing genomic heterogeneity, however tools for measuring phenotypic heterogeneity have lagged due to the increased difficulty of handling live biology. Here, we report a single cell phenotyping tool capable of measuring image-based clonal properties at scales approaching 100,000 clones per experiment. These advances are achieved by exploiting a novel flow regime in ladder microfluidic networks that, under appropriate conditions, yield a mathematically perfect cell trap. Machine learning and computer vision tools are used to control the imaging hardware and analyze the cellular phenotypic parameters within these images. Using this platform, we quantified the responses of tens of thousands of single cell-derived acute myeloid leukemia (AML) clones to targeted therapy, identifying rare resistance and morphological phenotypes at frequencies down to 0.05%. This approach can be extended to higher-level cellular architectures such as cell pairs and organoids and on-chip live-cell fluorescence assays.

(Invited) On-Chip Characterization of Microcapsules Using a Capacitive Sensor for Microencapsulation and Single-Cell Analysis Applications

2021 ◽  
Vol MA2021-01 (60) ◽  
pp. 1603-1603
Author(s):  
Sajjad Janfaza ◽  
Seyedehhamideh Razavi ◽  
Arash Dalili ◽  
Mina Hoorfar
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Capacitive Sensor ◽  
Cell Analysis ◽  
On Chip

scholarly journals Microfluidic single-cell analysis—Toward integration and total on-chip analysis

2020 ◽  
Vol 14 (2) ◽  
pp. 021502 ◽  
Author(s):  
Cheuk Wang Fung ◽  
Shek Nga Chan ◽  
Angela Ruohao Wu
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
On Chip ◽  
Chip Analysis

scholarly journals On-chip single-cell analysis of Chlamydomonas cell cycle dynamics

2003 ◽  
Vol 43 (supplement) ◽  
pp. S113
Author(s):  
K. Matsumura ◽  
T. Yagi ◽  
K. Yasuda
Keyword(s):  
Cell Cycle ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
On Chip ◽  
Cell Cycle Dynamics

scholarly journals 2P1-D17 On-chip fabrication of functional microstructures for single cell analysis

2008 ◽  
Vol 2008 (0) ◽  
pp. _2P1-D17_1-_2P1-D17_4
Author(s):  
Masaki ITO ◽  
Hisataka MARUYAMA ◽  
Masahiro NAKAJIMA ◽  
Toshio FUKUDA
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Chip Fabrication ◽  
On Chip

scholarly journals Sequentially addressable dielectrophoretic array for high-throughput sorting of large-volume biological compartments

2020 ◽  
Vol 6 (22) ◽  
pp. eaba6712 ◽  
Author(s):  
A. Isozaki ◽  
Y. Nakagawa ◽  
M. H. Loo ◽  
Y. Shibata ◽  
N. Tanaka ◽  
...  
Keyword(s):  
Single Cell ◽  
High Speed ◽  
Single Cell Analysis ◽  
Droplet Microfluidics ◽  
Cell Analysis ◽  
Green Biotechnology ◽  
Speed Flow ◽  
Droplet Sorting ◽  
On Chip

Droplet microfluidics has become a powerful tool in precision medicine, green biotechnology, and cell therapy for single-cell analysis and selection by virtue of its ability to effectively confine cells. However, there remains a fundamental trade-off between droplet volume and sorting throughput, limiting the advantages of droplet microfluidics to small droplets (<10 pl) that are incompatible with long-term maintenance and growth of most cells. We present a sequentially addressable dielectrophoretic array (SADA) sorter to overcome this problem. The SADA sorter uses an on-chip array of electrodes activated and deactivated in a sequence synchronized to the speed and position of a passing target droplet to deliver an accumulated dielectrophoretic force and gently pull it in the direction of sorting in a high-speed flow. We use it to demonstrate large-droplet sorting with ~20-fold higher throughputs than conventional techniques and apply it to long-term single-cell analysis of Saccharomyces cerevisiae based on their growth rate.

Sign in / Sign up

Export Citation Format

Share Document