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Journal
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Biology
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シミュレーション教師あり学習によるミトコンドリア形態の解析
JoVE Journal
Biology
Author Produced
This content is Free Access.
JoVE Journal
Biology
Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
Please note that all translations are automatically generated.
Click here for the English version.
シミュレーション教師あり学習によるミトコンドリア形態の解析
DOI:
10.3791/64880-v
•
12:06 min
•
March 03, 2023
•
Abhinanda Ranjit Punnakkal
,
Gustav Godtliebsen
,
Ayush Somani
,
Sebastian Andres Acuna Maldonado
,
Åsa Birna Birgisdottir
4
,
Dilip K. Prasad
,
Alexander Horsch
,
Krishna Agarwal
1
Department of Computer Science
,
UiT The Arctic University of Norway
,
2
Department of Clinical Medicine
,
UiT The Arctic University of Norway
,
3
Department of Physics and Technology
,
UiT The Arctic University of Norway
,
4
Division of Cardiothoracic and Respiratory Medicine
,
University Hospital of North Norway
Chapters
00:11
Introduction
02:16
Cell Culture
02:47
Experimental Procedure
03:29
Staining and Mounting of Cells on Cover Slips
04:15
Microscopy and Imaging
04:51
Generating Simulated Training Data
07:02
Deep Learning Based Segmentation
08:58
Morphological Analysis
10:09
Results
11:42
Conclusion
Summary
Automatic Translation
English (Original)
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Automatic Translation
この記事では、固定細胞の蛍光顕微鏡画像でミトコンドリアの形態を分析するために、シミュレーション教師あり機械学習を使用する方法について説明します。
Tags
Mitochondrial Morphology
Simulation Supervised Learning
Microscopy Image Analysis
Mitochondria Segmentation
Deep Learning
CCCP Treatment
Cardiomyoblasts
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