LDM: A web application for automated management and visualization of laboratory screening data

High-throughput screening (HTS) is essential in preclinical research to identify new drug candidates for specific diseases. This process typically generates large amounts of data that require effective storage, management, and analysis. Traditional methods for handling HTS data involve several standalone solutions, which can present challenges regarding data accessibility and reproducibility. We introduce Lab Data Management (LDM), an open-source web application developed to automate the management and visualization of HTS data. LDM provides a highly customizable data management system with an intuitive user interface for handling output data from various laboratory instruments, such as plate readers, microscopes, liquid handlers, and barcode readers. The app allows for results visualization and calculation of quality control metrics. An integrated Jupyter notebook can be used to retrieve the stored data and proceed with a more detailed analysis.

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Publication Details

Journal
SLAS TECHNOLOGY
Published
2025-02-21
DOI
https://doi.org/10.1016/j.slast.2025.100258
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

LDM: A web application for automated management and visualization of laboratory screening data

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SLAS TECHNOLOGY
Scientific Computing and Data Management
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LDM: A web application for automated management and visualization of laboratory screening data

Tijmen H. Booij, David Keller, David Meyer, Michael Prummer, Stéphanie Huber, Eva Riegler, A. Escher
article en

Abstract

High-throughput screening (HTS) is essential in preclinical research to identify new drug candidates for specific diseases. This process typically generates large amounts of data that require effective storage, management, and analysis. Traditional methods for handling HTS data involve several standalone solutions, which can present challenges regarding data accessibility and reproducibility. We introduce Lab Data Management (LDM), an open-source web application developed to automate the management and visualization of HTS data. LDM provides a highly customizable data management system with an intuitive user interface for handling output data from various laboratory instruments, such as plate readers, microscopes, liquid handlers, and barcode readers. The app allows for results visualization and calculation of quality control metrics. An integrated Jupyter notebook can be used to retrieve the stored data and proceed with a more detailed analysis.

SLAS TECHNOLOGYVol. 31
SIB Swiss Institute of Bioinformatics (CH), ETH Zurich (CH)
Openalex Percentile: Top 96%
Scientific Computing and Data Management
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