@article {69957, title = {Compressive streak microscopy for fast sampling of fluorescent reporters of neural activity.}, journal = {Neurophotonics}, volume = {12}, year = {2025}, month = {2025 Apr 12}, pages = {025013}, abstract = {

SIGNIFICANCE: one-photon fluorescence imaging of calcium and voltage indicators expressed in neurons enables noninvasive recordings of neural activity with submillisecond precision. However, data acquisition speed is limited by the frame rate of cameras.

AIM: We developed a compressive streak fluorescence microscope to record fluorescence in individual neurons at high speeds ( frames per second) exceeding the nominal frame rate of the camera by trading off spatial pixels for temporal resolution.

APPROACH: Our microscope leverages a digital micromirror device for targeted illumination, a galvo mirror for temporal scanning, and a ridge regression algorithm for fast computational reconstruction of fluorescence traces with high temporal resolution.

RESULTS: In simulations, the ridge regression algorithm reconstructs traces of high temporal resolution with limited signal loss. Validation experiments with fluorescent beads and experiments in larval zebrafish demonstrate accurate reconstruction with a data compression ratio of 10 and accurate recordings of neural activity with 200- to 400-Hz sampling speeds.

CONCLUSIONS: Our compressive microscopy enables new experimental capabilities to monitor activity at a sampling speed that outpaces the nominal frame rate of the camera.

}, issn = {2329-423X}, doi = {10.1117/1.NPh.12.2.025013}, url = {https://doi.org/10.1117/1.nph.12.2.025013}, author = {Cai, Changjia and Traubert, Owen and Tormes-Vaquerano, Jovan and Eybposh, M Hossein and Turaga, Srinivas C and Rodriguez-Romaguera, Jose and Naumann, Eva A and P{\'e}gard, Nicolas C} } @article {48386, title = {From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response.}, journal = {Cell}, volume = {167}, year = {2016}, month = {2016 11 03}, pages = {947-960.e20}, abstract = {

Detailed descriptions of brain-scale sensorimotor circuits underlying vertebrate behavior remain elusive. Recent advances in zebrafish neuroscience offer new opportunities to dissect such circuits via whole-brain imaging, behavioral analysis, functional perturbations, and network modeling. Here, we harness these tools to generate a brain-scale circuit\ model of the optomotor response, an orienting behavior evoked by visual motion. We show that such motion is processed by diverse neural response types distributed across multiple brain regions. To transform sensory input into action, these regions sequentially integrate eye- and direction-specific sensory streams, refine representations via interhemispheric inhibition, and demix locomotor instructions to independently drive turning and forward swimming. While experiments revealed many neural response types throughout the brain, modeling identified the dimensions of functional connectivity most critical for the behavior. We thus reveal how distributed neurons collaborate to generate behavior and illustrate a paradigm for distilling functional circuit models from whole-brain data.

}, keywords = {Animals, Brain, Feedback, Sensory, Neural Pathways, Neuroimaging, Neurons, Swimming, Visual Perception, Zebrafish}, issn = {1097-4172}, doi = {10.1016/j.cell.2016.10.019}, author = {Naumann, Eva A and Fitzgerald, James E and Dunn, Timothy W and Rihel, Jason and Sompolinsky, Haim and Engert, Florian} } @article {47283, title = {Neural circuits underlying visually evoked escapes in larval zebrafish.}, journal = {Neuron}, volume = {89}, year = {2016}, month = {2016 Feb 3}, pages = {613-628}, abstract = {

Escape behaviors deliver organisms away from imminent catastrophe. Here, we characterize behavioral responses of freely swimming larval zebrafish to\ looming visual stimuli simulating predators. We report that the visual system alone can recruit lateralized, rapid escape motor programs, similar to those elicited by mechanosensory modalities. Two-photon calcium imaging of retino-recipient midbrain regions isolated the optic tectum as an important center processing looming stimuli, with ensemble activity encoding the critical image size determining escape latency. Furthermore, we describe activity in retinal ganglion cell terminals and superficial inhibitory interneurons in the tectum during looming and propose a model for how temporal dynamics in tectal\ periventricular neurons might arise from computations between these two fundamental constituents. Finally, laser ablations of hindbrain circuitry confirmed that visual and mechanosensory modalities share the same premotor output network. We\ establish a circuit for the processing of aversive stimuli in the context of an innate visual behavior.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.12.021}, author = {Dunn, Timothy W and Gebhardt, Christoph and Naumann, Eva A and Riegler, Clemens and Ahrens, Misha B and Engert, Florian and Del Bene, Filippo} } @article {48388, title = {Whole-brain activity mapping onto a zebrafish brain atlas.}, journal = {Nature methods}, volume = {12}, year = {2015}, month = {2015 Nov}, pages = {1039-46}, abstract = {

In order to localize the neural circuits involved in generating behaviors, it is necessary to assign activity onto anatomical maps of the nervous system. Using brain registration across hundreds of larval zebrafish, we have built an expandable open-source atlas containing molecular labels and definitions of anatomical regions, the Z-Brain. Using this platform and immunohistochemical detection of phosphorylated extracellular signal{\textendash}regulated kinase (ERK) as a readout of neural activity, we have developed a system to create and contextualize whole-brain maps of stimulus- and behavior-dependent neural activity. This mitogen-activated protein kinase (MAP)-mapping assay is technically simple, and data analysis is completely automated. Because MAP-mapping is performed on freely swimming fish, it is applicable to studies of nearly any stimulus or behavior. Here we demonstrate our high-throughput approach using pharmacological, visual and noxious stimuli, as well as hunting and feeding. The resultant maps outline hundreds of areas associated with behaviors.

}, keywords = {Algorithms, Animals, Automation, Behavior, Animal, Brain, Brain Mapping, Calcium, Extracellular Signal-Regulated MAP Kinases, Image Processing, Computer-Assisted, Immunohistochemistry, Microscopy, Confocal, Neurites, Neurons, Phosphorylation, Principal Component Analysis, Reproducibility of Results, Software, Swimming, Zebrafish}, issn = {1548-7105}, doi = {10.1038/nmeth.3581}, author = {Randlett, Owen and Wee, Caroline L and Naumann, Eva A and Nnaemeka, Onyeka and Schoppik, David and Fitzgerald, James E and Portugues, Ruben and Lacoste, Alix M B and Riegler, Clemens and Engert, Florian and Schier, Alexander F} }