LDM: A web application for automated management and visualization of laboratory screening data
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Author / Producer
Date
2025-04
Publication Type
Journal Article, Journal Article
ETH Bibliography
yes
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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.
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Publication status
published
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Book title
Journal / series
Volume
31
Pages / Article No.
100258
Publisher
Elsevier
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Automated file management; Laboratory screening; Experimental results visualization; Open-source software
Organisational unit
06249 - NEXUS Software Engineering / NEXUS Software Engineering
Notes
Technical Brief