E � cient and accurate extraction of 1 in vivo calcium signals from 2 microendoscopic video data

†These authors contributed equally to this work 1Center for the Neural Basis of Cognition and Machine Learning Department, Carnegie 8 Mellon University, Pittsburgh, United States of America; 2Departments of Statistics and 9 Neuroscience, Grossman Center for the Statistics of Mind, Center for Theoretical 10 Neuroscience, Kavli Institute for Brain Science, and NeuroTechnology Center, Columbia 11 University, New York, United States of America; 3Department of Psychiatry, University of 12 North Carolina at Chapel Hill, Chapel Hill, United States of America; 4Departments of 13 Neuroscience & Psychiatry, Columbia University, New York, United States of America; 14 5Division of Integrative Neuroscience, Department of Psychiatry, New York State 15 Psychiatric Institute, New York, United States of America; 6Howard Hughes Medical 16 Institute, Department of Neurobiology, Harvard Medical School, Boston, United States of 17 America; 7Center for Computational Biology, Flatiron Institute, Simons Foundation, New 18 York, United States of America; 8Neuroscience Center, Department of Cell Biology and 19 Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States of 20 America; 9Neuroscience Graduate Program, Weill Institute for Neurosciences, Kavli 21 Institute for Fundamental Neuroscience, Department of Psychiatry, University of 22 California, San Francisco, United States of America; 10Department of Statistics, Carnegie 23 Mellon University, Pittsburgh, United States of America 24