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

You might also read

Related Articles

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

Sort by
Same author

Relationship between biomarkers and stroke risk in sickle cell disease odds in an Amazon folk.

Genetics and molecular biology·2026
Same author

Mitochondrial Calcium Transport in Amino Acid Metabolism: From nutritional responses to metabolic regulation.

American journal of physiology. Cell physiology·2026
Same author

Disruption of polycystin-1 cleavage impairs mitochondrial bioenergetics and calcium uptake in a substrate-dependent manner.

American journal of physiology. Renal physiology·2026
Same author

Molecular analysis of mitochondrial complex I in the levodopa short duration response in Parkinson's disease.

Parkinsonism & related disorders·2026
Same author

Mitochondrial insertions/deletions (INDELs) burden in Parkinson's disease: an analysis from a Brazilian cohort.

Parkinsonism & related disorders·2026
Same author

The past, present, and future of RNA biochemistry and mitochondrial research.

Trends in biochemical sciences·2026

Related Experiment Video

Updated: Mar 31, 2026

Understanding the Changes in Mitochondrial Morphology through Dynamic and Three-dimensional Fluorescence Micrographs
08:15

Understanding the Changes in Mitochondrial Morphology through Dynamic and Three-dimensional Fluorescence Micrographs

Published on: August 15, 2025

1.3K

An open-source code to analyze mitochondrial intracellular distribution from fluorescence microscopy images.

Giovanna C Cavalcante1, Alicia J Kowaltowski1

  • 1Departamento de Bioquímica, Instituto de Química, and Centro de Metabolismo CoMeta, Hospital Universitário, Universidade de São Paulo, São Paulo, Brazil.

Bioscience Reports
|March 30, 2026
PubMed
Summary

Researchers developed new code to easily analyze mitochondrial localization within cells using microscopy. This tool quantifies whether mitochondria are perinuclear or peripheral, aiding cell biology research.

Keywords:
ImmunofluorescenceMitoTrackerMitochondriaMitochondrial localizationMitochondrial morphology

More Related Videos

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

1.1K
Ratiometric Biosensors that Measure Mitochondrial Redox State and ATP in Living Yeast Cells
12:22

Ratiometric Biosensors that Measure Mitochondrial Redox State and ATP in Living Yeast Cells

Published on: July 22, 2013

21.8K

Related Experiment Videos

Last Updated: Mar 31, 2026

Understanding the Changes in Mitochondrial Morphology through Dynamic and Three-dimensional Fluorescence Micrographs
08:15

Understanding the Changes in Mitochondrial Morphology through Dynamic and Three-dimensional Fluorescence Micrographs

Published on: August 15, 2025

1.3K
Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

1.1K
Ratiometric Biosensors that Measure Mitochondrial Redox State and ATP in Living Yeast Cells
12:22

Ratiometric Biosensors that Measure Mitochondrial Redox State and ATP in Living Yeast Cells

Published on: July 22, 2013

21.8K

Area of Science:

  • Cell Biology
  • Mitochondrial Dynamics
  • Bioimaging

Background:

  • Mitochondria play crucial roles in cellular functions, involving dynamic changes in morphology and location.
  • Assessing mitochondrial morphology is common via microscopy, but tools for quantifying intracellular localization are limited.

Purpose of the Study:

  • To develop and validate a computational tool for estimating per-cell mitochondrial radial localization (perinuclear or peripheral).
  • To provide an accessible method for analyzing mitochondrial distribution from fluorescence microscopy data.

Main Methods:

  • A novel code was designed to process fluorescence microscopy files.
  • The code estimates mitochondrial radial localization using various mitochondrial markers.
  • The tool was tested across three distinct cell types and staining protocols.

Main Results:

  • The developed code successfully estimates per-cell mitochondrial radial localization.
  • Mitochondrial localization data can be easily extracted and visualized.
  • The tool demonstrated effectiveness across different cell types and imaging conditions.

Conclusions:

  • The new code offers a user-friendly solution for quantifying mitochondrial localization.
  • This tool facilitates deeper understanding of mitochondrial dynamics and cellular function.
  • It addresses a current gap in bioimaging analysis tools for mitochondrial distribution.