Journal
/
생물학
/
Artificial Intelligence Approaches to Assessing Primary Cilia
JoVE 신문
생물학
This content is Free Access.
JoVE 신문 생물학
Artificial Intelligence Approaches to Assessing Primary Cilia

Artificial Intelligence Approaches to Assessing Primary Cilia

2,990 Views

•

08:58 min

•

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

Automatically generated

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.

Explore More Videos

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

Read Article

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).

Download .ris file

Copy

Share Video

.

Copy