Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 22, 2026

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities
12:33

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities

Published on: November 15, 2013

[Not Available].

Gary E Strangman1, Quan Zhang, Thomas Zeffiro

  • 1Department of Psychiatry, Harvard Medical School Charlestown, MA, USA.

Frontiers in Neuroinformatics
|June 23, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Virtual reality-based sensory stimulation preferences at Amundsen-Scott South Pole station in Antarctica.

NPJ microgravity·2025
Same author

Nourishing the brain on deep space missions: nutritional psychiatry in promoting resilience.

Frontiers in neural circuits·2023
Same author

Safety Review and Perspectives of Transcranial Focused Ultrasound Brain Stimulation.

Brain & NeuroRehabilitation·2023
Same author

Operationally Relevant Behavior Assessment Using the Robotic On-Board Trainer for Research (ROBoT-r).

Aerospace medicine and human performance·2019
Same author

Technology Development for Simultaneous Wearable Monitoring of Cerebral Hemodynamics and Blood Pressure.

IEEE journal of biomedical and health informatics·2018
Same author

Ethylene Mediates Alkaline-Induced Rice Growth Inhibition by Negatively Regulating Plasma Membrane H<sup>+</sup>-ATPase Activity in Roots.

Frontiers in plant science·2017
Same journal

Predicting vasovagal syncope during head-up tilt test: three machine learning approaches.

Frontiers in neuroinformatics·2026
Same journal

Decoding basal ganglia motor circuit dysfunction from handwriting: a physics-informed neural signal interpretation framework for Parkinson's disease screening.

Frontiers in neuroinformatics·2026
Same journal

FUSION-AD: interpretable AI framework for risk assessment and subgroup discovery in Alzheimer's disease.

Frontiers in neuroinformatics·2026
Same journal

A 3D-printed phantom to validate subject orientation in 3D imaging and recordings.

Frontiers in neuroinformatics·2026
Same journal

IntegriLAB: a blockchain-enabled electronic lab notebook for reproducible neuroimaging research.

Frontiers in neuroinformatics·2026
Same journal

Long-range correlations in alpha-band of electroencephalogram: a nonlinear embedding and detrended fluctuation analysis.

Frontiers in neuroinformatics·2026
See all related articles

This study introduces NinPy, a Python software suite for near-infrared neuroimaging (NIN). NinPy enhances optical brain imaging analysis, supporting data acquisition, processing, and visualization for brain function studies.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Non-invasive optical brain imaging, particularly near-infrared neuroimaging (NIN), is rapidly advancing for studying brain function.
  • Current software tools for NIN data acquisition, processing, and analysis lag behind hardware development.
  • Efficient and accessible software is crucial for the widespread adoption and advancement of NIN techniques.

Purpose of the Study:

  • To introduce Python software tools developed for structural and functional neuroimaging, specifically for NIN.
  • To address the need for refined software in optical neuroimaging data handling.
  • To present NinPy as a solution for NIN data acquisition, image processing, statistical modeling, and visualization.

Main Methods:

  • Development of a Python-based software collection named NinPy.
Keywords:
NIRSbrain imagingdiffuse optical tomographynear-infrared spectroscopypython

Related Experiment Videos

Last Updated: Jun 22, 2026

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities
12:33

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities

Published on: November 15, 2013

  • Utilizing Python's modularity and efficient syntax for neuroimaging data analysis.
  • Focusing on computational requirements for NIN experiments.

    • Main Results:

    • NinPy provides a suite of tools to support near-infrared neuroimaging experiments.
    • The software facilitates data acquisition, image processing, statistical modeling, and visualization.
    • Future extensions aim to integrate optical data with other neuroimaging modalities.

    Conclusions:

    • Python offers a robust platform for developing advanced neuroimaging software.
    • NinPy is designed to streamline and enhance the analysis of optical neuroimaging data.
    • The availability of NinPy and its future integration capabilities will advance brain function research.