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Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K

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Related Experiment Video

Updated: Jul 24, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
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Continuous Automated Analysis Workflow for MRS Studies.

Helge Jörn Zöllner1,2, Christopher W Davies-Jenkins3,4, Erik G Lee5,6

  • 1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD, 21287, USA. hzoelln2@jhmi.edu.

Journal of Medical Systems
|July 7, 2023
PubMed
Summary
This summary is machine-generated.

We developed an automated workflow for magnetic resonance spectroscopy (MRS) data analysis, streamlining processing and quality control. This automation reduces manual effort, errors, and costs, making MRS more accessible for large-scale research.

Keywords:
BIDSLinear-combination modelingMagnetic resonance spectroscopyNIfTI-MRSOspreyReproducibility

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Magnetic resonance spectroscopy (MRS) non-invasively measures metabolites in vivo, crucial for neuroscience and clinical research.
  • Current MRS data analysis involves extensive manual steps, hindering wider adoption, increasing errors, and limiting scalability.
  • Variability in manual workflows creates a significant barrier for researchers and clinicians.

Purpose of the Study:

  • To develop and demonstrate a fully automated end-to-end workflow for magnetic resonance spectroscopy (MRS) data uptake, processing, and quality review.
  • To overcome the limitations of manual data analysis in MRS, including time consumption, potential for human error, and scalability issues.
  • To facilitate broader application of MRS in large-scale studies and multi-center collaborations.

Main Methods:

  • Implemented a continuous automated analysis workflow triggered by a directory monitoring service upon new data arrival.
  • Integrated innovations in data storage conventions, including conversion to NIfTI-MRS format and BIDS-MRS organization.
  • Utilized the open-source software Osprey for command-line analysis and automated email delivery of quality control reports.

Main Results:

  • The automated architecture successfully processed a demonstration dataset with minimal manual intervention (only data folder copying).
  • The workflow efficiently handles data conversion, organization, analysis, and quality assessment.
  • Demonstrated the feasibility of a fully automated pipeline from raw data to quality-controlled results.

Conclusions:

  • Continuous automated analysis of MRS data significantly reduces the burden of manual processing and quality control.
  • This automation is particularly beneficial for non-expert users, multi-center studies, and large-scale research initiatives.
  • The developed workflow offers substantial economic advantages and promotes wider adoption of MRS.