1 code implementation • 9 Jun 2020 • Jeremy A. Miller, Nathan W. Gouwens, Bosiljka Tasic, Forrest Collman, Cindy T. J. van Velthoven, Trygve E. Bakken, Hongkui Zeng, Ed S. Lein, Amy Bernard
The recent advent of single cell RNA-sequencing and other high-throughput technologies has led to an explosion of cell type definitions across multiple organ systems.
no code implementations • 29 May 2020 • Sharmishtaa Seshamani, Leila Elabbady, Casey Schneider-Mizell, Gayathri Mahalingam, Sven Dorkenwald, Agnes Bodor, Thomas Macrina, Daniel Bumbarger, JoAnn Buchanan, Marc Takeno, Wenjing Yin, Derrick Brittain, Russel Torres, Daniel Kapner, Kisuk Lee, Ran Lu, Jinpeng Wu, Nuno daCosta, Clay Reid, Forrest Collman
Morphology based analysis of cell types has been an area of great interest to the neuroscience community for several decades.
1 code implementation • Nature Methods 2018 • Chawin Ounkomol, Sharmishtaa Seshamani, Mary M. Maleckar, Forrest Collman, Gregory R. Johnson
Understanding cells as integrated systems is central to modern biology.
no code implementations • 9 Apr 2018 • Randal Burns, Eric Perlman, Alex Baden, William Gray Roncal, Ben Falk, Vikram Chandrashekhar, Forrest Collman, Sharmishtaa Seshamani, Jesse Patsolic, Kunal Lillaney, Michael Kazhdan, Robert Hider Jr., Derek Pryor, Jordan Matelsky, Timothy Gion, Priya Manavalan, Brock Wester, Mark Chevillet, Eric T. Trautman, Khaled Khairy, Eric Bridgeford, Dean M. Kleissas, Daniel J. Tward, Ailey K. Crow, Matthew A. Wright, Michael I. Miller, Stephen J. Smith, R. Jacob Vogelstein, Karl Deisseroth, Joshua T. Vogelstein
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies.
Neurons and Cognition Quantitative Methods
no code implementations • 9 Mar 2018 • Gregory Kiar, Robert J. Anderson, Alex Baden, Alexandra Badea, Eric W. Bridgeford, Andrew Champion, Vikram Chandrashekhar, Forrest Collman, Brandon Duderstadt, Alan C. Evans, Florian Engert, Benjamin Falk, Tristan Glatard, William R. Gray Roncal, David N. Kennedy, Jeremy Maitin-Shepard, Ryan A. Marren, Onyeka Nnaemeka, Eric Perlman, Sharmishtaas Seshamani, Eric T. Trautman, Daniel J. Tward, Pedro Antonio Valdés-Sosa, Qing Wang, Michael I. Miller, Randal Burns, Joshua T. Vogelstein
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales.
no code implementations • 16 Nov 2016 • Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman, Joshua T. Vogelstein, Kristina D. Micheva, Richard J. Weinberg, Stephen J. Smith, Guillermo Sapiro
The present work describes new probabilistic image analysis methods for single-synapse analysis of synapse populations in both animal and human brains.