@article {48716, title = {Multi-scale approaches for high-speed imaging and analysis of large neural populations.}, journal = {PLoS Computational Biology}, volume = {13}, year = {2017}, month = {2017 Aug 03}, pages = {e1005685}, abstract = {

Progress in modern neuroscience critically depends on our ability to observe the activity of large neuronal populations with cellular spatial and high temporal resolution. However, two bottlenecks constrain efforts towards fast imaging of large populations. First, the resulting large video data is challenging to analyze. Second, there is an explicit tradeoff between imaging speed, signal-to-noise, and field of view: with current recording technology we cannot image very large neuronal populations with simultaneously high spatial and temporal resolution. Here we describe multi-scale approaches for alleviating both of these bottlenecks. First, we show that spatial and temporal decimation techniques based on simple local averaging provide order-of-magnitude speedups in spatiotemporally demixing calcium video data into estimates of single-cell neural activity. Second, once the shapes of individual neurons have been identified at fine scale (e.g., after an initial phase of conventional imaging with standard temporal and spatial resolution), we find that the spatial/temporal resolution tradeoff shifts dramatically: after demixing we can accurately recover denoised fluorescence traces and deconvolved neural activity of each individual neuron from coarse scale data that has been spatially decimated by an order of magnitude. This offers a cheap method for compressing this large video data, and also implies that it is possible to either speed up imaging significantly, or to "zoom out" by a corresponding factor to image order-of-magnitude larger neuronal populations with minimal loss in accuracy or temporal resolution.

}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1005685}, author = {Friedrich, Johannes and Yang, Weijian and Soudry, Daniel and Mu, Yu and Ahrens, Misha B and Yuste, Rafael and Peterka, Darcy S and Paninski, Liam} } @article {47299, title = {Calcium imaging of neural circuits with extended depth-of-field light-sheet microscopy.}, journal = {Optics Letters}, volume = {41}, year = {2016}, month = {2016 Feb 17}, pages = {855-8}, abstract = {

Increasing the volumetric imaging speed of light-sheet microscopy will improve its ability to detect fast changes in neural activity. Here, a system is introduced for brain-wide imaging of neural activity in the larval zebrafish by coupling structured illumination with cubic phase extended depth-of-field (EDoF) pupil encoding. This microscope enables faster light-sheet imaging and facilitates arbitrary plane scanning{\textemdash}removing constraints on acquisition speed, alignment tolerances, and physical motion near the sample. The usefulness of this method is demonstrated by performing multi-plane calcium imaging in the fish brain with a\ 416{\texttimes}832{\texttimes}160 μm\ field of view at 33\ Hz. The optomotor response behavior of the zebrafish is monitored at high speeds, and time-locked correlations of neuronal activity are resolved across its brain.

}, doi = {10.1364/OL.41.000855}, author = {Quirin, Sean and Vladimirov, Nikita and Yang, Chao-Tsung and Peterka, Darcy S and Yuste, Rafael and Ahrens, Misha B} } @article {47262, title = {Simultaneous denoising, deconvolution, and demixing of calcium imaging data.}, journal = {Neuron}, volume = {89}, year = {2016}, month = {2016 Jan 20}, pages = {285-99}, abstract = {

We present a modular approach for analyzing calcium imaging recordings of large neuronal ensembles. Our goal is to simultaneously identify the locations of the neurons, demix spatially overlapping components, and denoise and deconvolve the spiking activity from the slow dynamics of the calcium indicator. Our approach relies on a constrained nonnegative matrix factorization that expresses the spatiotemporal fluorescence activity as the product of a spatial matrix that encodes the spatial footprint of each neuron in the optical field and a temporal matrix that characterizes the calcium concentration of each neuron over time. This framework is combined with a novel constrained deconvolution approach that extracts estimates of neural activity from fluorescence traces, to create a spatiotemporal processing algorithm that requires minimal parameter tuning. We demonstrate the general applicability of our method by applying it to in\ vitro and in\ vivo multi-neuronal imaging data, whole-brain light-sheet imaging data, and dendritic imaging data.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.11.037}, author = {Pnevmatikakis, Eftychios A and Soudry, Daniel and Gao, Yuanjun and Machado, Timothy A and Merel, Josh and Pfau, David and Reardon, Thomas and Mu, Yu and Lacefield, Clay and Yang, Weijian and Ahrens, Misha and Bruno, Randy and Jessell, Thomas M and Peterka, Darcy S and Yuste, Rafael and Paninski, Liam} } @article {6130, title = {Nanotools for neuroscience and brain activity mapping.}, journal = {ACS Nano}, volume = {7}, year = {2013}, month = {2013 Mar 26}, pages = {1850-66}, abstract = {

Neuroscience is at a crossroads. Great effort is being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We attribute this disparity, in part, to limitations in current methodologies. Traditional neurophysiological approaches record the activities of one neuron or a few neurons at a time. Neurochemical approaches focus on single neurotransmitters. Yet, there is an increasing realization that neural circuits operate at emergent levels, where the interactions between hundreds or thousands of neurons, utilizing multiple chemical transmitters, generate functional states. Brains function at the nanoscale, so tools to study brains must ultimately operate at this scale, as well. Nanoscience and nanotechnology are poised to provide a rich toolkit of novel methods to explore brain function by enabling simultaneous measurement and manipulation of activity of thousands or even millions of neurons. We and others refer to this goal as the Brain Activity Mapping Project. In this Nano Focus, we discuss how recent developments in nanoscale analysis tools and in the design and synthesis of nanomaterials have generated optical, electrical, and chemical methods that can readily be adapted for use in neuroscience. These approaches represent exciting areas of technical development and research. Moreover, unique opportunities exist for nanoscientists, nanotechnologists, and other physical scientists and engineers to contribute to tackling the challenging problems involved in understanding the fundamentals of brain function.

}, issn = {1936-086X}, doi = {10.1021/nn4012847}, author = {Alivisatos, A Paul and Andrews, Anne M and Boyden, Edward S and Chun, Miyoung and Church, George M and Deisseroth, Karl and Donoghue, John P and Fraser, Scott E and Lippincott-Schwartz, Jennifer and Looger, Loren L and Masmanidis, Sotiris and McEuen, Paul L and Nurmikko, Arto V and Park, Hongkun and Peterka, Darcy S and Reid, Clay and Roukes, Michael L and Scherer, Axel and Schnitzer, Mark and Sejnowski, Terrence J and Shepard, Kenneth L and Tsao, Doris and Turrigiano, Gina and Weiss, Paul S and Xu, Chris and Yuste, Rafael and Zhuang, Xiaowei} } @article {47641, title = {Nanotools for neuroscience and brain activity mapping.}, journal = {ACS nano}, volume = {7}, year = {2013}, month = {2013 Mar 26}, pages = {1850-66}, abstract = {

Neuroscience is at a crossroads. Great effort is being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We attribute this disparity, in part, to limitations in current methodologies. Traditional neurophysiological approaches record the activities of one neuron or a few neurons at a time. Neurochemical approaches focus on single neurotransmitters. Yet, there is an increasing realization that neural circuits operate at emergent levels, where the interactions between hundreds or thousands of neurons, utilizing multiple chemical transmitters, generate functional states. Brains function at the nanoscale, so tools to study brains must ultimately operate at this scale, as well. Nanoscience and nanotechnology are poised to provide a rich toolkit of novel methods to explore brain function by enabling simultaneous measurement and manipulation of activity of thousands or even millions of neurons. We and others refer to this goal as the Brain Activity Mapping Project. In this Nano Focus, we discuss how recent developments in nanoscale analysis tools and in the design and synthesis of nanomaterials have generated optical, electrical, and chemical methods that can readily be adapted for use in neuroscience. These approaches represent exciting areas of technical development and research. Moreover, unique opportunities exist for nanoscientists, nanotechnologists, and other physical scientists and engineers to contribute to tackling the challenging problems involved in understanding the fundamentals of brain function.

}, keywords = {Animals, Brain Mapping, Humans, Models, Neurological, Nanomedicine, Nanoparticles, Nanotechnology, Nervous System Physiological Phenomena}, issn = {1936-086X}, doi = {10.1021/nn4012847}, author = {Alivisatos, A Paul and Andrews, Anne M and Boyden, Edward S and Chun, Miyoung and Church, George M and Deisseroth, Karl and Donoghue, John P and Fraser, Scott E and Lippincott-Schwartz, Jennifer and Looger, Loren L and Masmanidis, Sotiris and McEuen, Paul L and Nurmikko, Arto V and Park, Hongkun and Peterka, Darcy S and Reid, Clay and Roukes, Michael L and Scherer, Axel and Schnitzer, Mark and Sejnowski, Terrence J and Shepard, Kenneth L and Tsao, Doris and Turrigiano, Gina and Weiss, Paul S and Xu, Chris and Yuste, Rafael and Zhuang, Xiaowei} }