Elimu

ELIMU-MDx

ELIMU-MDx (Electronic Laboratory Information and Management Utensil for Molecular Diagnostics) is a web-app designed to store, manage and analyse diagnostic quantitative polymerase chain reaction (qPCR) data.

  • It's highly adaptable and integrative: integration of data analysis for any qPCR assay into existing lab workflow.
  • It's fast: supports automated quality control and analysis of qPCR data.
  • It's compatible with qPCR standards: follows the MIQE guidelines and supports the universal RDML data standard.
  • It's open source: the source code is distributed under a MIT license and is publicly available.

The ELIMU-MDx platform was initially built to support data analysis from Controlled Human Malaria Infections (CHMIs) and was extensively tested with diagnostic qPCR data generated during CHMI studies in Tanzania and Equatorial Guinea. Demo accounts can be requested by sending an email to the ELIMU-MDx team.

Main Features

The ELIMU-MDx platfrom offers the following features:

  • Access the ELIMU-MDx platform through the web-browser with your personal login credentials. Based on different levels of permission each user is assigned to a specific role: lab manager, scientist or monitor.
  • ELIMU-MDx uses the RDML data standard for qPCR data, which makes the platform independent from the qPCR instrument and software.
  • The software supports all types of qPCR assays. Simply customize and pre-define your assay parameters and apply it to your experiments.
  • Audit trail: All changes and main events are logged by the implemented audit system in order to achieve complete transparancy and traceability of the qPCR data.

You can also:

  • Use ELIMU-MDx as a Laboratory Information and Management System (LIMS). Keep track of your sample storage and shipments with the automatically created logs.
  • Use ELIMU-MDx as an Electronic Laboratory Notebook (ELN). Replace your dusty paper laboratory notebooks and use the ELN feature to document your qPCR experiments.
  • Add any type of other results or raw data to the samples and link them to the qPCR data.

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