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Biology
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评估原发性纤毛的人工智能方法
JoVE Journal
Biology
This content is Free Access.
JoVE Journal
Biology
Artificial Intelligence Approaches to Assessing Primary Cilia
Please note that all translations are automatically generated.
Click here for the English version.
评估原发性纤毛的人工智能方法
DOI:
10.3791/62521-v
•
08:58 min
•
May 01, 2021
•
Ruchi Bansal
,
Staci E. Engle
,
Tisianna K. Kamba
,
Kathryn M. Brewer
,
Wesley R. Lewis
,
Nicolas F. Berbari
3,4
1
Department of Biology
,
Indiana University-Purdue University Indianapolis
,
2
Nikon Instruments Inc.
,
3
Stark Neurosciences Research Institute
,
Indiana University
,
4
Center for Diabetes and Metabolic Diseases
,
Indiana University School of Medicine
Chapters
00:04
Introduction
00:43
Artificial Intelligence Training to Identify the Cilia
02:27
Identify Cilia Using Trained AI
04:03
Cilia Length and Intensity Measurement
05:23
Colocalization Studies
06:07
Results: Cilia Measurement Using AI
08:19
Conclusion
Summary
Automatic Translation
English (Original)
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Automatic Translation
与常用方法相比,使用人工智能(Ai)分析图像正在成为一种功能强大,偏见较少且快速的方法。在这里,我们训练Ai识别细胞器,原代纤毛,并以严格和可重复的方式分析长度和染色强度等特性。
Tags
AI
Artificial Intelligence
Cilia Analysis
Image Analysis
Organelle Analysis
Cytoskeletal Proteins
ND File
Image Calibration
Binary Toolbar
Auto Detect
Draw Object
NIS.AI
Train Segment.AI
GroundTruth Binaries
Confocal Images
Multi-point
Wavelength
Channel Selection
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