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评估原发性纤毛的人工智能方法

JoVE Journal
Biologia

This content is Free Access.

JoVE Journal Biologia

Artificial Intelligence Approaches to Assessing Primary Cilia

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评估原发性纤毛的人工智能方法

DOI:

10.3791/62521-v

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08:58 min

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May 01, 2021

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Ruchi Bansal, Staci E. Engle, Tisianna K. Kamba, Kathryn M. Brewer, Wesley R. Lewis, Nicolas F. Berbari^3,4

¹Department of Biology,Indiana University-Purdue University Indianapolis, ²Nikon Instruments Inc., ³Stark Neurosciences Research Institute,Indiana University, ⁴Center for Diabetes and Metabolic Diseases,Indiana University School of Medicine

Capitoli

00:04Introduction
00:43Artificial Intelligence Training to Identify the Cilia
02:27Identify Cilia Using Trained AI
04:03Cilia Length and Intensity Measurement
05:23Colocalization Studies
06:07Results: Cilia Measurement Using AI
08:19Conclusion

Summary

Traduzione automatica

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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