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Artificial Intelligence Approaches to Assessing Primary Cilia
JoVE 杂志
生物学
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JoVE 杂志 生物学
Artificial Intelligence Approaches to Assessing Primary Cilia

Artificial Intelligence Approaches to Assessing Primary Cilia

2,990 Views

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08:58 min

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May 01, 2021

DOI:

10.3791/62521-v

DOI:
10.3791/62521-v

•

08:58 min
May 01, 2021

•

9 Views
, , , , ,
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

Summary

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The use of artificial intelligence (Ai) to analyze images is emerging as a powerful, less biased, and rapid approach compared with commonly used methods. Here we trained Ai to recognize a cellular organelle, primary cilia, and analyze properties such as length and staining intensity in a rigorous and reproducible manner.

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Cite this Article

Bansal, R., Engle, S. E., Kamba, T. K., Brewer, K. M., Lewis, W. R., Berbari, N. F. Artificial Intelligence Approaches to Assessing Primary Cilia. J. Vis. Exp. (171), e62521, doi:10.3791/62521 (2021).

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