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 Concept Videos

Sample Preparation for Analysis: Overview01:21

Sample Preparation for Analysis: Overview

326
Sample preparation is an essential step in the analytical process. It involves preparing a sample so that it can be analyzed accurately. The goal is to extract the analyte, the substance you want to measure, from the sample while removing any components that may interfere with the analysis. Sample preparation techniques vary depending on the physical state of the sample.
Bulk or large solid samples are typically reduced in size using grinding, crushing, or milling techniques to increase the...
326
Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

451
Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
451

You might also read

Related Articles

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

Sort by
Same author

Effects of psilocybin on sleep quality and brain microstructure in chronic cluster headache.

Journal of psychopharmacology (Oxford, England)·2026
Same author

Building an open ecosystem for molecular neuroimaging: standards and tools from the OpenNeuroPET initiative.

bioRxiv : the preprint server for biology·2026
Same author

A dataset of clinical pediatric brain MRI with and without motion correction.

Scientific data·2026
Same author

Brain MRI Dataset Featuring a Full Clinical Protocol With and Without Intentional Motion.

Scientific data·2026
Same author

Assessing metadata privacy in neuroimaging.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Clinically validated dataset of 435 human colons segmented from CT colonography.

Scientific data·2026
Same journal

Individualized mapping of functional brain networks in older adulthood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Is the whole more than the sum of its parts? Considering global and local features of the connectome improves prediction of individuals and phenotypes.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

The language network responds robustly to sentences across tasks.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Neighborhood disadvantage and brain myelination: Insights from infancy to childhood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Meditation and neurofeedback: A systematic scoping review, synthesis, and future directions.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Interactive shape and color representation in visual working memory for colored objects in the human occipitotemporal cortex.

Imaging neuroscience (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.9K

A sensitivity analysis of preprocessing pipelines: Toward a solution for multiverse analyses.

Brice Ozenne1,2, Martin Nørgaard3,4, Cyril Pernet1,3

  • 1Neurobiology Research Unit, Rigshospitalet Blegdamsvej, Copenhagen, Denmark.

Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a framework for aggregating results from multiple data analysis pipelines in neuroimaging. It enhances the reliability of Positron Emission Tomography (PET) studies by accounting for various noise sources and preprocessing methods.

Keywords:
neuroimagingpreprocessing and multiverse analyses

More Related Videos

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K
Author Spotlight: Comprehensive Epigenetic Analysis for Investigating Human Cellular Plasticity and Environmental Adaptation Using Immunofluorescence Assays
06:33

Author Spotlight: Comprehensive Epigenetic Analysis for Investigating Human Cellular Plasticity and Environmental Adaptation Using Immunofluorescence Assays

Published on: June 28, 2024

621

Related Experiment Videos

Last Updated: Sep 11, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.9K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K
Author Spotlight: Comprehensive Epigenetic Analysis for Investigating Human Cellular Plasticity and Environmental Adaptation Using Immunofluorescence Assays
06:33

Author Spotlight: Comprehensive Epigenetic Analysis for Investigating Human Cellular Plasticity and Environmental Adaptation Using Immunofluorescence Assays

Published on: June 28, 2024

621

Area of Science:

  • Neuroimaging
  • Data Science
  • Statistical Analysis

Background:

  • Neuroimaging data analysis is susceptible to noise, leading to variable results from different preprocessing pipelines.
  • Existing methods struggle to systematically aggregate findings across multiple analytical approaches (multiverse analyses).

Purpose of the Study:

  • To develop a generic framework for aggregating results from multiverse analyses in neuroimaging.
  • To introduce novel statistical tools for sensitivity analysis across different data processing pipelines.
  • To improve the robustness and reproducibility of Positron Emission Tomography (PET) neuroimaging studies.

Main Methods:

  • Utilized multiple preprocessing pipelines known to significantly influence neuroimaging study outcomes.
  • Developed conceptual and practical tools for aggregating pipeline results.
  • Implemented sensitivity analyses to test hypotheses across pipelines, such as "no effect across all pipelines".

Main Results:

  • A flexible framework for multiverse analysis in neuroimaging was established.
  • Statistical tools were created to aggregate and analyze results from diverse pipelines.
  • Sensitivity analyses provide robust hypothesis testing across different analytical choices.

Conclusions:

  • The proposed framework enhances the reliability of neuroimaging research by systematically addressing pipeline variability.
  • This approach is applicable to any multiverse scenario, promoting broader adoption in scientific research.
  • Openly available code and tutorials facilitate the implementation of multiverse analyses by other researchers.