14 research outputs found

    Precise multimodal optical control of neural ensemble activity.

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    Understanding brain function requires technologies that can control the activity of large populations of neurons with high fidelity in space and time. We developed a multiphoton holographic approach to activate or suppress the activity of ensembles of cortical neurons with cellular resolution and sub-millisecond precision. Since existing opsins were inadequate, we engineered new soma-targeted (ST) optogenetic tools, ST-ChroME and IRES-ST-eGtACR1, optimized for multiphoton activation and suppression. Employing a three-dimensional all-optical read-write interface, we demonstrate the ability to simultaneously photostimulate up to 50 neurons distributed in three dimensions in a 550 × 550 × 100-µm3 volume of brain tissue. This approach allows the synthesis and editing of complex neural activity patterns needed to gain insight into the principles of neural codes

    HQA1K Hologram Perceptual Quality Assessment Dataset

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    The HQA1K dataset was developed for assessing the quality of Computer Generated Holography (CGH) image renderings based on direct human input. HQA1K is comprised of 1,000 pairs of natural images matched to simulated CGH renderings of various quality levels. The result is a diverse set of data for evaluating image quality algorithms and models

    Visualization 5: Compressive light-field microscopy for 3D neural activity recording

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    When the zebrafish returns to rest, the dictionary becomes valid again (residual error drops). Originally published in Optica on 20 May 2016 (optica-3-5-517
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