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. Berbari1,3,4 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. Bioengineering Conducting Multiple Imaging Modes with One Fluorescence Microscope Seongjin Park1, Jiacheng Zhang2, Matthew A. Reyer2, Joanna Zareba1,3, Andrew A. Troy4, Jingyi Fei1,2 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. 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 Jaconi1 1Department 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.