PySight: plug and play photon counting for fast intravital microscopy
Hagai Har-GiliD, Lior GolgheriD, Shai IsraeliD, David KainiD, Ori CheshnovskyiD, Moshe ParnasiD, Pablo BlinderiD
Abstract
Imaging increasingly large neuronal populations at high rates pushed multi-photon microscopy into the photon-deprived regime. We present PySight, an add-on hardware and software solution tailored for photon-deprived imaging conditions. PySight more than triples the median amplitude of neuronal calcium transients in awake mice, and facilitates single-trial intravital voltage imaging in fruit flies. Its unique data streaming architecture allowed us to image a fruit flys olfactory response over 234 x; 600 x; 330{micro}m3 at 73 volumes per second, outperforming top-tier imaging setups while retaining over 200 times lower data rates. PySight requires no electronics expertise nor custom synchronization boards, and its open-source software is extensible to any imaging method based on single-pixel (bucket) detectors. PySight offers an optimal data acquisition scheme for ever increasing imaging volumes of turbid living tissue.
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