Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting

2011 ◽  
Vol 51 (11) ◽  
pp. 2808-2820 ◽  
Author(s):  
Charles Bergeron ◽  
Gregory Moore ◽  
Michael Krein ◽  
Curt M. Breneman ◽  
Kristin P. Bennett
Keyword(s):  
High Throughput ◽  
Curve Fitting ◽  
High Throughput Screening ◽  
Domain Knowledge

scholarly journals HTX: a tool for the exploration and visualization of high-throughput image assays

2017 ◽  
Author(s):  
Carlos Arteta ◽  
Victor Lempitsky ◽  
Jaroslav Zak ◽  
Xin Lu ◽  
J. Alison Noble ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Domain Knowledge ◽  
Large Scale ◽  
Data Sets ◽  
Imaging Data ◽  
Specific Domain ◽  
Small Molecule Libraries ◽  
Algorithmic Techniques ◽  
2D Data

AbstractHigh-throughput screening (HTS) techniques have enabled large scale image-based studies, but extracting biological insights from the imaging data in an exploratory setting remains a challenge. Existing packages for this task either require expert annotations, which can bias the outcome of the study, or are completely unsupervised, failing to leverage the information present in the assay design. We present HTX, an interactive tool to aid in the exploration of large microscopy data sets by allowing the visualization of entire image-based assays according to visual similarities between the samples in an intuitive and navigable manner. Underlying HTX are a collection of novel algorithmic techniques for deep texture descriptor learning, 2D data visualization, adversarial suppression of batch effects, and backprop-based image saliency estimation.We demonstrate that HTX can exploit the screen meta-data in order to learn screen-specific image descriptors, which are then used to quantify the visual similarity between samples in the assay. Given these similarities and the different visualization resources of HTX, it is shown that screens of small-molecule libraries on cell data can be easily explored, reproducing the results of previous studies where highly-specific domain knowledge was required.

High-throughput screening program for botanical extracts

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
L Hingorani ◽  
NP Seeram ◽  
B Ebersole
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Screening Program ◽  
Botanical Extracts

High throughput screening of microbial biodiversity for the discovery of novel cosmeceutical agents

Planta Medica ◽  
2015 ◽  
Vol 81 (16) ◽  
Author(s):  
K Georgousaki ◽  
N DePedro ◽  
AM Chinchilla ◽  
N Aliagiannis ◽  
F Vicente ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Microbial Biodiversity

High throughput screening to investigate Brazilian Cerrado biome plant extract bank chemical diversity

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
LS Espindola ◽  
RG Dusi ◽  
KR Gustafson ◽  
J McMahon ◽  
JA Beutler
Keyword(s):  
High Throughput ◽  
Plant Extract ◽  
High Throughput Screening ◽  
Chemical Diversity ◽  
Brazilian Cerrado ◽  
Cerrado Biome

High-throughput screening revealed a clinically relevant drug to induce sperm motility

2014 ◽  
Author(s):  
Clair Cochrane ◽  
Halil Ruso ◽  
Anthony Hope ◽  
Rosemary G Clarke ◽  
Christopher Barratt ◽  
...  
Keyword(s):  
Sperm Motility ◽  
High Throughput ◽  
High Throughput Screening

Biocatalytic Ketone Reductions Using Biobeads

2020 ◽  
Author(s):  
Jia Shen Chew ◽  
Ken Chi Lik Lee ◽  
THI THANH NHA HO
Keyword(s):  
Enzyme Immobilization ◽  
High Throughput ◽  
High Throughput Screening ◽  
Chiral Hplc ◽  
Micro Scale

<p>Lee and coworkers offers a kind of new concept to enzyme immobilization and explores its suitability in the context of miniaturisation and high-throughput screening. Here, polystyrene-immobilized ketoreductases are compared with its non-immobilized counterparts in terms of conversion and stereoselectivity (both determined by chiral HPLC), and the study indicates that the BioBeads perform similarly (sometimes slightly more selective) which may be useful whenever defined micro-scale amounts of biocatalysts were required in high-throughput experiment settings.</p>

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