Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Neuroscience, Cleveland Clinic Lerner Research Institute, Cleveland, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Danielle Feldman
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Stephanie Chou
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Jacque Ip
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Guo-Li Ming
Department of Neuroscience and Mahoney Institute for Neurosciences, Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
Peter TC So
Deparment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, United States
Picower Institute of Learning and Memory, Massachusetts Institute of Technology, Cambridge, United States; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States
Human cerebral organoids are unique in their development of progenitor-rich zones akin to ventricular zones from which neuronal progenitors differentiate and migrate radially. Analyses of cerebral organoids thus far have been performed in sectioned tissue or in superficial layers due to their high scattering properties. Here, we demonstrate label-free three-photon imaging of whole, uncleared intact organoids (~2 mm depth) to assess early events of early human brain development. Optimizing a custom-made three-photon microscope to image intact cerebral organoids generated from Rett Syndrome patients, we show defects in the ventricular zone volumetric structure of mutant organoids compared to isogenic control organoids. Long-term imaging live organoids reveals that shorter migration distances and slower migration speeds of mutant radially migrating neurons are associated with more tortuous trajectories. Our label-free imaging system constitutes a particularly useful platform for tracking normal and abnormal development in individual organoids, as well as for screening therapeutic molecules via intact organoid imaging.