Nikon Instruments Inc.

3 articles published in JoVE

• 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 1}Department 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.

• 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 1}Department 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.

• Bioengineering

  
  Harmonic Nanoparticles for Regenerative Research Flavio Ronzoni¹, Thibaud Magouroux², Remi Vernet¹, Jérôme Extermann³, Darragh Crotty⁴, Adriele Prina-Mello⁵, Daniel Ciepielewski⁶, Yuri Volkov⁴, Luigi Bonacina², Jean-Pierre Wolf², Marisa Jaconi^{1 1}Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, ²Physics Department, GAP-Biophotonics, University of Geneva, ³Laboratoire d'Optique Biomédicale (LOB), Faculté des Sciences et Techniques de l'Ingénieur, École Polytechnique Fédérale de Lausanne, ⁴Department of Clinical Medicine, School of Medicine, Trinity College Dublin, ⁵School of Medicine and CRANN, Trinity College Dublin, ⁶Nikon AG Instruments Protocol details are provided for in vitro labeling human embryonic stem cells with second harmonic generating nanoparticles. Methodologies for hESC investigation by multi-photon microscopy and their differentiation into cardiac clusters are also presented.