-1::1
Simple Hit Counter
Skip to content

Products

Solutions

×
×
Sign In

CN

EN - EnglishCN - 简体中文DE - DeutschES - EspañolKR - 한국어IT - ItalianoFR - FrançaisPT - Português do BrasilPL - PolskiHE - עִבְרִיתRU - РусскийJA - 日本語TR - TürkçeAR - العربية
Sign In Start Free Trial

RESEARCH

JoVE Journal

Peer reviewed scientific video journal

Behavior
Biochemistry
Bioengineering
Biology
Cancer Research
Chemistry
Developmental Biology
View All
JoVE Encyclopedia of Experiments

Video encyclopedia of advanced research methods

Biological Techniques
Biology
Cancer Research
Immunology
Neuroscience
Microbiology
JoVE Visualize

Visualizing science through experiment videos

EDUCATION

JoVE Core

Video textbooks for undergraduate courses

Analytical Chemistry
Anatomy and Physiology
Biology
Calculus
Cell Biology
Chemistry
Civil Engineering
Electrical Engineering
View All
JoVE Science Education

Visual demonstrations of key scientific experiments

Advanced Biology
Basic Biology
Chemistry
View All
JoVE Lab Manual

Videos of experiments for undergraduate lab courses

Biology
Chemistry

BUSINESS

JoVE Business

Video textbooks for business education

Accounting
Finance
Macroeconomics
Marketing
Microeconomics

OTHERS

JoVE Quiz

Interactive video based quizzes for formative assessments

Authors

Teaching Faculty

Librarians

K12 Schools

Biopharma

Products

RESEARCH

JoVE Journal

Peer reviewed scientific video journal

JoVE Encyclopedia of Experiments

Video encyclopedia of advanced research methods

JoVE Visualize

Visualizing science through experiment videos

EDUCATION

JoVE Core

Video textbooks for undergraduates

JoVE Science Education

Visual demonstrations of key scientific experiments

JoVE Lab Manual

Videos of experiments for undergraduate lab courses

BUSINESS

JoVE Business

Video textbooks for business education

OTHERS

JoVE Quiz

Interactive video based quizzes for formative assessments

Solutions

Authors
Teaching Faculty
Librarians
K12 Schools
Biopharma

Language

zh_CN

EN

English

CN

简体中文

DE

Deutsch

ES

Español

KR

한국어

IT

Italiano

FR

Français

PT

Português do Brasil

PL

Polski

HE

עִבְרִית

RU

Русский

JA

日本語

TR

Türkçe

AR

العربية

    Menu

    JoVE Journal

    Behavior

    Biochemistry

    Bioengineering

    Biology

    Cancer Research

    Chemistry

    Developmental Biology

    Engineering

    Environment

    Genetics

    Immunology and Infection

    Medicine

    Neuroscience

    Menu

    JoVE Encyclopedia of Experiments

    Biological Techniques

    Biology

    Cancer Research

    Immunology

    Neuroscience

    Microbiology

    Menu

    JoVE Core

    Analytical Chemistry

    Anatomy and Physiology

    Biology

    Calculus

    Cell Biology

    Chemistry

    Civil Engineering

    Electrical Engineering

    Introduction to Psychology

    Mechanical Engineering

    Medical-Surgical Nursing

    View All

    Menu

    JoVE Science Education

    Advanced Biology

    Basic Biology

    Chemistry

    Clinical Skills

    Engineering

    Environmental Sciences

    Physics

    Psychology

    View All

    Menu

    JoVE Lab Manual

    Biology

    Chemistry

    Menu

    JoVE Business

    Accounting

    Finance

    Macroeconomics

    Marketing

    Microeconomics

Start Free Trial
Loading...
Home
JoVE Journal
Neuroscience
通过亚型特异性视黄酸受体对活神经元线粒体稳态调节进行优化的自动分析
通过亚型特异性视黄酸受体对活神经元线粒体稳态调节进行优化的自动分析
JoVE Journal
Neuroscience
A subscription to JoVE is required to view this content.  Sign in or start your free trial.
JoVE Journal Neuroscience
Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors

通过亚型特异性视黄酸受体对活神经元线粒体稳态调节进行优化的自动分析

Full Text
996 Views
08:33 min
July 28, 2023

DOI: 10.3791/65452-v

José J. M. Vitória1, Vinícius de Paula1, Odete A. B. da Cruz e Silva1, Diogo Trigo1

1Neuroscience and Signalling Laboratory, Institute of Biomedicine (iBiMED), Department of Medical Sciences,University of Aveiro

AI Banner

Please note that some of the translations on this page are AI generated. Click here for the English version.

Overview

This study focuses on advancing the analysis of mitochondria, essential organelles for cellular function, by developing automated tools for efficient image processing. Using MATLAB, the researchers addressed the challenges posed by the complex mitochondrial network, enabling rapid analysis of timelapse images. The implications of mitochondrial anomalies for disease mechanisms and therapeutic strategies are also explored.

Key Study Components

Area of Science

  • Neuroscience
  • Mitochondrial Biology
  • Automated Imaging Analysis

Background

  • Mitochondria are crucial for various cellular functions.
  • Anomalies in mitochondria are linked to disease processes.
  • Improved microscopy and computational tools are essential for analyzing mitochondrial function.
  • High-resolution imaging and bioinformatic strategies are critical for detailed analysis.

Purpose of Study

  • To develop a MATLAB tool for analyzing live confocal images of mitochondria.
  • To enhance the efficiency of mitochondrial analysis through automation.
  • To address challenges in measuring mitochondrial parameters accurately.

Methods Used

  • Live confocal imaging systems for capturing mitochondrial dynamics.
  • Automated analysis tools developed using MATLAB.
  • Machine learning algorithms for image segmentation and quantification.
  • CRISPR-Cas9 for studying mitochondrial morphology.
  • Emphasis on developing non-invasive methods for in vivo studies.

Main Results

  • The study successfully developed a tool that automates mitochondrial analysis.
  • This tool improves the reliability and efficiency of quantifying mitochondrial parameters.
  • Addresses the complexity and variability of mitochondrial populations.
  • Highlights the relevance of mitochondrial function in disease and therapeutic applications.

Conclusions

  • The developed tool facilitates robust mitochondrial analysis, enhancing research in cell biology and disease mechanisms.
  • Contributes to the understanding of mitochondria in personalized medicine.
  • The study underscores the potential for novel therapeutic strategies targeting mitochondrial function.

Frequently Asked Questions

What advantages does the MATLAB tool provide for mitochondrial analysis?
The MATLAB tool automates the analysis process, significantly enhancing efficiency and reducing manual effort in handling large data volumes from mitochondrial imaging.
How can the imaging model be adapted for different experiments?
The imaging model can be adapted by incorporating various types of cell cultures or live imaging systems to study different biological questions concerning mitochondria.
What types of data are obtained through this analysis?
The analysis yields detailed quantification of mitochondrial parameters such as morphology, dynamics, and functional status, contributing to a better understanding of mitochondrial roles.
Are there any limitations to the automated analysis tool?
While the automated tool enhances efficiency, it may require validation against manual measurements to ensure accuracy, especially given mitochondrial heterogeneity.
In what ways can the findings impact therapeutic development?
The findings can lead to insights into mitochondrial-targeted therapies, potentially aiding in the design of personalized medicine approaches focused on mitochondrial dysfunction.
What is the significance of CRISPR-Cas9 in this study?
CRISPR-Cas9 is used to manipulate mitochondrial morphology, providing insights into how alterations at the mitochondrial level affect overall cellular function and health.

线粒体网络极其复杂,因此分析起来非常具有挑战性。一种新颖的MATLAB工具可分析延时摄影图像中的实时共聚焦成像线粒体,但输出量很大,需要单独手动操作。为了解决这个问题,开发了一个例行优化,允许快速的文件分析。

我的研究主要集中在神经科学领域,特别是我们想了解疾病的分子基础。这导致我们研究细胞、它们的结构以及执行不同细胞功能的细胞器。线粒体越来越受到越来越多的关注。

线粒体水平的异常正在成为理解疾病过程的绝对基础,它们甚至可能为新药或治疗策略提供有趣的靶点。在阿威罗大学,我们已经能够开发出对研究线粒体感兴趣的工具。不仅是显微镜和更传统的方法,而且我们已经能够优化自动分析工具与生物信息学策略相结合,以便在解决线粒体功能时能够量化并提供更详细的分析。

最新的进展包括用于图像分割和线粒体参数量化的机器学习算法。此外,还有高通量成像平台和深度学习算法,可提高线粒体表征的准确性和效率。目前用于推进线粒体分析领域的技术包括高分辨率显微镜、实时成像系统、与机器学习协议相结合的计算分析工具,以及用于线粒体形态学和生物学分析的 CRISPR-Cas9 基因组编辑。

目前线粒体领域的实验挑战包括开发可靠和准确的线粒体参数测量,考虑线粒体群体的异质性,分析线粒体和细胞生物学之间的相互作用,以及开发用于研究体内线粒体的非侵入性工具。我们的工具提高了效率和可靠性,可以对线粒体进行强大的自动化分析。此外,我们可以探索透明质酸受体调节在线粒体个性化医疗中的潜力。

View the full transcript and gain access to thousands of scientific videos

Sign In Start Free Trial

Explore More Videos

神经科学 第 197 期 稳态调节 亚型特异性视黄酸受体 MATLAB 工具 延时文件 图像处理 输出体积 手动注意 实验设置 例程优化 MATLAB 代码 实时脚本表单 文件分析 文档阅读 数据处理 速度 特定帧数据 线粒体行为 视黄酸受体激动剂

Related Videos

活大鼠皮层神经元线粒体膜电位和活性氧的测定

09:56

活大鼠皮层神经元线粒体膜电位和活性氧的测定

Related Videos

66.4K Views

使用比例指示器成像原代神经元中的线粒体氧化还原状态

02:39

使用比例指示器成像原代神经元中的线粒体氧化还原状态

Related Videos

407 Views

成比例的生物传感器测量活酵母细胞中的线粒体氧化还原状态和ATP

12:22

成比例的生物传感器测量活酵母细胞中的线粒体氧化还原状态和ATP

Related Videos

21.7K Views

遗传性痉挛性截瘫中人类诱导多能干细胞衍生神经元的线粒体迁移与形态分析

07:32

遗传性痉挛性截瘫中人类诱导多能干细胞衍生神经元的线粒体迁移与形态分析

Related Videos

8.2K Views

离体视网膜组织样品中线粒体呼吸和糖酵解的测定

08:45

离体视网膜组织样品中线粒体呼吸和糖酵解的测定

Related Videos

4.9K Views

培养的星形胶质细胞中线粒体系统的实时成像

06:20

培养的星形胶质细胞中线粒体系统的实时成像

Related Videos

4.6K Views

使用比率指标对原代神经元中的线粒体谷胱甘肽氧化还原状态进行实时成像

07:47

使用比率指标对原代神经元中的线粒体谷胱甘肽氧化还原状态进行实时成像

Related Videos

3.3K Views

使用高分辨率呼吸测定法实时分析原代人视网膜色素上皮细胞中的生物能量学

09:16

使用高分辨率呼吸测定法实时分析原代人视网膜色素上皮细胞中的生物能量学

Related Videos

3K Views

阿尔茨海默病 (AD) 神经模型中线粒体相关内质网膜 (MAM) 稳定性的定量分析

06:41

阿尔茨海默病 (AD) 神经模型中线粒体相关内质网膜 (MAM) 稳定性的定量分析

Related Videos

1.2K Views

使用高效液相色谱定量分析小鼠眼部和非眼部组织中的膳食维生素 A 代谢物

05:03

使用高效液相色谱定量分析小鼠眼部和非眼部组织中的膳食维生素 A 代谢物

Related Videos

1.7K Views

JoVE logo
Contact Us Recommend to Library
Research
  • JoVE Journal
  • JoVE Encyclopedia of Experiments
  • JoVE Visualize
Business
  • JoVE Business
Education
  • JoVE Core
  • JoVE Science Education
  • JoVE Lab Manual
  • JoVE Quizzes
Solutions
  • Authors
  • Teaching Faculty
  • Librarians
  • K12 Schools
  • Biopharma
About JoVE
  • Overview
  • Leadership
Others
  • JoVE Newsletters
  • JoVE Help Center
  • Blogs
  • JoVE Newsroom
  • Site Maps
Contact Us Recommend to Library
JoVE logo

Copyright © 2026 MyJoVE Corporation. All rights reserved

Privacy Terms of Use Policies
WeChat QR code