Volume Cytometry:  Microfluidic Sensor for High-Throughput Screening in Real Time

2005 ◽  
Vol 77 (5) ◽  
pp. 1290-1294 ◽  
Author(s):  
Daniel A. Ateya ◽  
Frederick Sachs ◽  
Philip A. Gottlieb ◽  
Steve Besch ◽  
Susan Z. Hua
Keyword(s):  
Real Time ◽  
High Throughput ◽  
High Throughput Screening

scholarly journals Correction: A highly selective fluorescent probe for real-time imaging of bacterial NAT2 and high-throughput screening of natural inhibitors for tuberculosis therapy

2019 ◽  
Vol 3 (10) ◽  
pp. 2190-2190
Author(s):  
Yinzhu Jin ◽  
Zhenhao Tian ◽  
Xiangge Tian ◽  
Lei Feng ◽  
Jingnan Cui ◽  
...  
Keyword(s):  
Real Time ◽  
Fluorescent Probe ◽  
High Throughput ◽  
High Throughput Screening ◽  
Real Time Imaging ◽  
Tuberculosis Therapy ◽  
Natural Inhibitors

Correction for ‘A highly selective fluorescent probe for real-time imaging of bacterial NAT2 and high-throughput screening of natural inhibitors for tuberculosis therapy’ by Yinzhu Jin et al., Mater. Chem. Front., 2019, 3, 145–150.

In-situ nanoelectrospray for high-throughput screening of enzymes and real-time monitoring of reactions

2016 ◽  
Vol 902 ◽  
pp. 135-141 ◽  
Author(s):  
Yuhan Yang ◽  
Feifei Han ◽  
Jin Ouyang ◽  
Yunling Zhao ◽  
Juan Han ◽  
...  
Keyword(s):  
Real Time ◽  
High Throughput ◽  
High Throughput Screening ◽  
Real Time Monitoring

A highly selective fluorescent probe for real-time imaging of bacterial NAT2 and high-throughput screening of natural inhibitors for tuberculosis therapy

2019 ◽  
Vol 3 (1) ◽  
pp. 145-150 ◽  
Author(s):  
Yinzhu Jin ◽  
Zhenhao Tian ◽  
Xiangge Tian ◽  
Lei Feng ◽  
Jingnan Cui ◽  
...  
Keyword(s):  
Cell Wall ◽  
Real Time ◽  
Fluorescent Probe ◽  
High Throughput ◽  
High Throughput Screening ◽  
Molecular Target ◽  
Cell Wall Synthesis ◽  
Key Enzyme ◽  
Tuberculosis Therapy ◽  
Natural Inhibitors

Fluorescent probeARHBis developed for detecting in various bacteria the activity ofN-acetyltransferase 2 (NAT2), a key enzyme in cell wall synthesis and widely considered to be a molecular target for anti-mycobacterial therapy.

scholarly journals Automatic end-to-end analysis of high-throughput in vitro cell culture screening by HTSplotter

2021 ◽  
Author(s):  
Carolina Nunes ◽  
Jasper Anckaert ◽  
Fanny De Vloed ◽  
Jolien De Wyn ◽  
Kaat Durinck ◽  
...  
Keyword(s):  
Cell Culture ◽  
Data Analysis ◽  
Data Processing ◽  
Real Time ◽  
High Throughput ◽  
Drug Combination ◽  
High Throughput Screening ◽  
Screening Experiments ◽  
Over Time

Biomedical researchers are moving towards high-throughput screening, as this allows for automatization, better reproducibility and more and faster results. High-throughput screening experiments encompass drug, drug combination, genetic perturbagen or a combination of genetic and chemical perturbagen screens. These experiments are conducted in real-time assays over time or in an endpoint assay. The data analysis consists of data cleaning and structuring, as well as further data processing and visualisation, which, due to the amount of data, can easily become laborious, time consuming, and error-prone. Therefore, several tools have been developed to aid researchers in this data analysis, but they focus on specific experimental set-ups and are unable to process data of several time points and genetic-chemical perturbagen screens together. To meet these needs, we developed HTSplotter, available as web tool and Python module, that performs automatic data analysis and visualisation of either endpoint or real-time assays from different high-throughput screening experiments: drug, drug combination, genetic perturbagen and genetic-chemical perturbagen screens. HTSplotter implements an algorithm based on conditional statements in order to identify experiment type and controls. After appropriate data normalization, HTSplotter executes downstream analyses such as dose-response relationship and drug synergism by the Bliss independence method. All results are exported as a text file and plots are saved in a PDF file. The main advantage of HTSplotter over other available tools is the automatic analysis of genetic-chemical perturbagen screens and real-time assays where results are plotted over time. In conclusion, HTSplotter allows for the automatic end-to-end data processing, analysis and visualisation of various high-throughput in vitro cell culture screens, offering major improvements in terms of versatility, convenience and time over existing tools.

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