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Related Concept Videos

Total Internal Reflection Fluorescence Microscopy01:05

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Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
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When a DC source is abruptly disconnected from an RC (Resistor-Capacitor) circuit, the circuit becomes source-free. Assuming that the capacitor was fully charged before the source was removed, its initial voltage, denoted as V0, can be considered as the initial energy that stimulates the circuit.
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When a DC source is abruptly applied to an RC (Resistor-Capacitor) circuit, the voltage can be represented as a unit step function. The voltage across the capacitor, known as the step response, characterizes how the circuit reacts to this sudden change in input.
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Related Experiment Video

Updated: Apr 11, 2026

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
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The NITRC image repository.

David N Kennedy1, Christian Haselgrove1, Jon Riehl2

  • 1Department of Psychiatry, Division of Neuroinformatics, University of Massachusetts Medical School, Worcester, MA, USA.

Neuroimage
|June 6, 2015
PubMed
Summary
This summary is machine-generated.

The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) offers a registry and repository for sharing neuroimaging data. This free, NIH-funded service supports researchers by providing access to diverse MRI data and computational tools.

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Area of Science:

  • Neuroscience
  • Medical Informatics
  • Biomedical Imaging

Background:

  • Neuroimaging research generates vast datasets requiring robust management and sharing solutions.
  • Existing platforms may lack flexibility in data access policies or comprehensive resource integration.
  • The need for centralized, accessible resources for neuroimaging researchers is critical.

Purpose of the Study:

  • To introduce the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) as a comprehensive service suite for neuroimaging researchers.
  • To highlight NITRC's capabilities in resource registration, image repository, and cloud computational environment.
  • To emphasize NITRC's role in facilitating neuroimaging data and resource sharing.

Main Methods:

  • NITRC integrates a Resource Registry (NITRC-R) for bulk data release via a File Release System (FRS).
  • NITRC utilizes the NITRC Image Repository (NITRC-IR), an XNAT-based system for image data management.
  • The platform supports various MRI data types, including structural, diffusion, and resting-state data.

Main Results:

  • NITRC currently hosts 14 projects, encompassing 6,845 subjects and 8,285 MRI imaging sessions.
  • NITRC-IR provides access to a substantial collection of diverse MRI data.
  • The service is designed for flexible data access policy management.

Conclusions:

  • NITRC offers a valuable, free, NIH-funded service to support the neuroimaging research community.
  • The platform effectively facilitates both general resource sharing and specific neuroimaging data sharing.
  • NITRC enhances research collaboration and data accessibility in neuroscience.