Nikon Instruments Inc.
2 ARTICLES PUBLISHED IN JoVE
Bioengineering
Conducting Multiple Imaging Modes with One Fluorescence Microscope
Seongjin Park 1, Jiacheng Zhang 2, Matthew A. Reyer 2, Joanna Zareba 1,3, Andrew A. Troy 4, Jingyi Fei 1,2
1Department of Biochemistry and Molecular Biology, University of Chicago, 2The Institute for Biophysical Dynamics, University of Chicago, 3Faculty of Chemistry, Wrocław University of Science and Technology, 4Nikon Instruments Inc.
Here we present a practical guide of building an integrated microscopy system, which merges conventional epi-fluorescent imaging, single-molecule detection-based super-resolution imaging, and multi-color single-molecule detection, including single-molecule fluorescence resonance energy transfer imaging, into one set-up in a cost-efficient way.
Biology
Artificial Intelligence Approaches to Assessing Primary Cilia
Ruchi Bansal 1, Staci E. Engle 1, Tisianna K. Kamba 1, Kathryn M. Brewer 1, Wesley R. Lewis 2, Nicolas F. Berbari 1,3,4
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
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.
