Genetic polymorphisms of histamine degrading enzymes: From small-scale screening to high-throughput routine testing

2003 ◽  
Vol 52 (0) ◽  
pp. s71-s73 ◽  
Author(s):  
H. G. Schwelberger ◽  
A. Drasche ◽  
J. Petersen ◽  
M. Raithel
Keyword(s):  
Genetic Polymorphisms ◽  
High Throughput ◽  
Small Scale ◽  
Routine Testing ◽  
Degrading Enzymes

scholarly journals Fully Automated Cultivation of Adipose-Derived Stem Cells in the StemCellDiscovery—A Robotic Laboratory for Small-Scale, High-Throughput Cell Production Including Deep Learning-Based Confluence Estimation

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 575
Author(s):  
Jelena Ochs ◽  
Ferdinand Biermann ◽  
Tobias Piotrowski ◽  
Frederik Erkens ◽  
Bastian Nießing ◽  
...  
Keyword(s):  
Stem Cells ◽  
Deep Learning ◽  
High Throughput ◽  
High Speed ◽  
New Technologies ◽  
Human Mesenchymal Stem Cells ◽  
Simulation Software ◽  
System Capacity ◽  
Small Scale ◽  
Production Environment

Laboratory automation is a key driver in biotechnology and an enabler for powerful new technologies and applications. In particular, in the field of personalized therapies, automation in research and production is a prerequisite for achieving cost efficiency and broad availability of tailored treatments. For this reason, we present the StemCellDiscovery, a fully automated robotic laboratory for the cultivation of human mesenchymal stem cells (hMSCs) in small scale and in parallel. While the system can handle different kinds of adherent cells, here, we focus on the cultivation of adipose-derived hMSCs. The StemCellDiscovery provides an in-line visual quality control for automated confluence estimation, which is realized by combining high-speed microscopy with deep learning-based image processing. We demonstrate the feasibility of the algorithm to detect hMSCs in culture at different densities and calculate confluences based on the resulting image. Furthermore, we show that the StemCellDiscovery is capable of expanding adipose-derived hMSCs in a fully automated manner using the confluence estimation algorithm. In order to estimate the system capacity under high-throughput conditions, we modeled the production environment in a simulation software. The simulations of the production process indicate that the robotic laboratory is capable of handling more than 95 cell culture plates per day.

Equalizing growth in high-throughput small scale cultivations via precultures operated in fed-batch mode

2009 ◽  
Vol 103 (6) ◽  
pp. 1095-1102 ◽  
Author(s):  
Robert Huber ◽  
Marco Scheidle ◽  
Barbara Dittrich ◽  
Doris Klee ◽  
Jochen Büchs
Keyword(s):  
High Throughput ◽  
Small Scale ◽  
Fed Batch ◽  
Batch Mode

Automated High-Throughput System Combining Small-Scale Synthesis with Bioassays and Reaction Screening

2021 ◽  
pp. 247263032110478
Author(s):  
Nicolás M. Morato ◽  
MyPhuong T. Le ◽  
Dylan T. Holden ◽  
R. Graham Cooks
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Desorption Electrospray Ionization ◽  
Ambient Ionization ◽  
Machine Learning Algorithms ◽  
Small Scale ◽  
Label Free ◽  
Minimal Sample ◽  
Secondary Droplets ◽  
Automated Platform

The Purdue Make It system is a unique automated platform capable of small-scale in situ synthesis, screening small-molecule reactions, and performing direct label-free bioassays. The platform is based on desorption electrospray ionization (DESI), an ambient ionization method that allows for minimal sample workup and is capable of accelerating reactions in secondary droplets, thus conferring unique advantages compared with other high-throughput screening technologies. By combining DESI with liquid handling robotics, the system achieves throughputs of more than 1 sample/s, handling up to 6144 samples in a single run. As little as 100 fmol/spot of analyte is required to perform both initial analysis by mass spectrometry (MS) and further MSn structural characterization. The data obtained are processed using custom software so that results are easily visualized as interactive heatmaps of reaction plates based on the peak intensities of m/ z values of interest. In this paper, we review the system’s capabilities as described in previous publications and demonstrate its utilization in two new high-throughput campaigns: (1) the screening of 188 unique combinatorial reactions (24 reaction types, 188 unique reaction mixtures) to determine reactivity trends and (2) label-free studies of the nicotinamide N-methyltransferase enzyme directly from the bioassay buffer. The system’s versatility holds promise for several future directions, including the collection of secondary droplets containing the products from successful reaction screening measurements, the development of machine learning algorithms using data collected from compound library screening, and the adaption of a variety of relevant bioassays to high-throughput MS.

A small scale in vitro system for high throughput gas production analysis – A comparison with the Hohenheim gas test

2018 ◽  
Vol 241 ◽  
pp. 8-14 ◽  
Author(s):  
Karola Elberg ◽  
Patrick Steuer ◽  
Ute Habermann ◽  
Jürgen Lenz ◽  
Michael Nelles ◽  
...  
Keyword(s):  
High Throughput ◽  
Gas Production ◽  
Small Scale ◽  
In Vitro System ◽  
Production Analysis

scholarly journals Development of a High-Throughput Process for Detection and Screening of Genetic Polymorphisms

BioTechniques ◽  
2000 ◽  
Vol 28 (5) ◽  
pp. 994-1005 ◽  
Author(s):  
John H. Leamon ◽  
Andrew Moiseff ◽  
Joseph F. Crivello
Keyword(s):  
Genetic Polymorphisms ◽  
High Throughput

Small-scale immunopurification of cytochrome c oxidase for a high-throughput multiplexing analysis of enzyme activity and amount

2007 ◽  
Vol 48 (4) ◽  
pp. 167 ◽  
Author(s):  
Birgit Schilling ◽  
James Murray ◽  
Richard H. Row ◽  
Chris B. Yoo ◽  
Bradford W. Gibson ◽  
...  
Keyword(s):  
Enzyme Activity ◽  
Cytochrome C ◽  
Cytochrome C Oxidase ◽  
High Throughput ◽  
Small Scale
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