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Nikon Instruments Inc.

2 ARTICLES PUBLISHED IN JoVE

Bioengineering

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Seongjin Park¹, Jiacheng Zhang², Matthew A. Reyer², Joanna Zareba^1,3, Andrew A. Troy⁴, 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 Bansal¹, Staci E. Engle¹, Tisianna K. Kamba¹, Kathryn M. Brewer¹, Wesley R. Lewis², 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.