scholarly journals D3.1 - Physical measurement methods for on-chip cell analysis

2013 ◽  
Author(s):  
M. J. Vellekoop
Keyword(s):  
Measurement Methods ◽  
Cell Analysis ◽  
Physical Measurement ◽  
On Chip

Automatic 3D Cell Analysis in High-Throughput Microarray Using Micropillar and Microwell Chips

2015 ◽  
Vol 20 (9) ◽  
pp. 1178-1184 ◽  
Author(s):  
Dong Woo Lee ◽  
Moo-Yeal Lee ◽  
Bosung Ku ◽  
Do-Hyun Nam
Keyword(s):  
Standard Deviation ◽  
High Throughput ◽  
High Throughput Screening ◽  
Doubling Time ◽  
Cultured Cells ◽  
Measurement Methods ◽  
Cell Analysis ◽  
Response Curves ◽  
U251 Cell ◽  
Doubling Times

Area-based and intensity-based 3D cell viability measurement methods are compared in high-throughput screening in order to analyze their effects on the assay results (doubling time and IC50) and their repeatability. Many other 3D cell-based high-throughput screening platforms had been previously introduced, but these had not clearly addressed the effects of the two methods on the assay results and assay repeatability. In this study, the optimal way to analyze 3D cultured cells is achieved by comparing day-to-day data of doubling times and IC50 values obtained from the two methods. In experiments, the U251 cell line is grown in chips. The doubling time, based on the area of the 3D cells, was 27.8 ± 1.8 h (standard deviation: 6.6%) and 27.8 ± 3.8 h (standard deviation: 13.7%) based on the intensity of the 3D cells. The doubling time calculated by area shows a smaller standard deviation than one calculated by intensity. IC50 values calculated by both methods are very similar. The standard deviations of IC50 values for the two methods were within ±3-fold. The IC50 variations of the 12 compounds were similar regardless of the viability measurement methods and were highly related to the shape of the dose–response curves.

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

Engineering Anthropometry

1976 ◽  
Vol 20 (16) ◽  
pp. 365-367 ◽  
Author(s):  
K. H. E. Kroemer
Keyword(s):  
Engineering Design ◽  
Human Subjects ◽  
Measurement Methods ◽  
Physical Measurement ◽  
Design Standards ◽  
Manufactured Products ◽  
Engineering Drawings

“Engineering anthropometry is the application of scientific physical measurement methods to human subjects for the development of engineering design standards and specific requirements and for evaluation of engineering drawings, mock-ups, and manufactured products for the purpose of assuring suitability of these products for the intended user population.” (page 6 in Roebuck, Kroemer & Thomson 1975)

scholarly journals On-chip cell analysis platform: Implementation of contact fluorescence microscopy in microfluidic chips

AIP Advances ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. 095213 ◽  
Author(s):  
Hiroaki Takehara ◽  
Osawa Kazutaka ◽  
Makito Haruta ◽  
Toshihiko Noda ◽  
Kiyotaka Sasagawa ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Cell Analysis ◽  
Microfluidic Chips ◽  
On Chip ◽  
Analysis Platform

Vision-Based Real-Time Microflow-Rate Control System for Cell Analysis

2016 ◽  
Vol 28 (6) ◽  
pp. 854-861 ◽  
Author(s):  
Tadayoshi Aoyama ◽  
◽  
Amalka De Zoysa ◽  
Qingyi Gu ◽  
Takeshi Takaki ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Control System ◽  
Real Time ◽  
Flow Rate ◽  
Rate Control ◽  
Microfluidic Devices ◽  
Cell Analysis ◽  
Time Flow ◽  
On Chip ◽  
Flow Rate Control

[abstFig src='/00280006/09.jpg' width='300' text='Snapshots of particle sorting experiment using our system' ] On-chip cell analysis is an important issue for microtechnology research, and microfluidic devices are frequently used in on-chip cell analysis systems. One approach to controlling the fluid flow in microfluidic devices for cell analysis is to use a suitable pumps. However, it is difficult to control the actual flow-rate in a microfluidic device because of the difficulty in placing flow-rate sensors in the device. In this study, we developed a real-time flow-rate control system that uses syringe pumps and high-speed vision to measure the actual fluid flow in microfluidic devices. The developed flow-rate control system was verified through experiments on microparticle velocity control and microparticle sorting.

scholarly journals Aeronautical Propulsion: Present Status and Future Directions

1984 ◽  
Author(s):  
Melvin J. Hartmann
Keyword(s):  
Control Systems ◽  
Gas Turbine ◽  
Integrated Control ◽  
Work Force ◽  
Considerable Change ◽  
Measurement Methods ◽  
Physical Measurement ◽  
Improve Performance ◽  
Future Directions ◽  
Factors Affecting

The advancement of aeropropulsion systems continues to provide technology to various portions of the gas turbine field. It is recognized that this area is undergoing considerable change, which will result in substantially improved gas turbine components and systems. These changes are occurring in a number of technical areas including advanced analytical and physical measurement methods, the application of large scientific computers, the dynamic modeling of components and systems, the application of integrated control systems that optimize and improve performance and system condition monitoring, and the development of new and unique materials and structures. As these areas evolve, the ways in which technology will advance, and factors affecting the design and development of new systems, will probably be considerably different than those of today. It is also anticipated that the necessary skilled work force will be different. Certainly there will be changes, but the nature, extent, and rate of those changes can only be surmised at this time.

A microfluidic cytometer with integrated on-chip optical systems for white blood cell analysis

2021 ◽  
Author(s):  
Xinyue Su ◽  
Tao Peng ◽  
Qin Li ◽  
Zewen Wei ◽  
Xuantao Su
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Optical Systems ◽  
Cell Analysis ◽  
On Chip
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