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Artificial Intelligence Approaches to Assessing Primary Cilia
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Biology
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JoVE Journal Biology
Artificial Intelligence Approaches to Assessing Primary Cilia

Artificial Intelligence Approaches to Assessing Primary Cilia

DOI:
10.3791/62521-v

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08:58 min

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May 01, 2021

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, , , , ,
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

Chapters

  • 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

Automatic Translation

Automatic Translation

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.

Tags

Keywords: AIArtificial IntelligenceCilia AnalysisImage AnalysisOrganelle AnalysisCytoskeletal ProteinsND FileImage CalibrationBinary ToolbarAuto DetectDraw ObjectNIS.AITrain Segment.AIGroundTruth BinariesConfocal ImagesMulti-pointWavelengthChannel Selection

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