RAMONA
We built Ramona to advance human health through live imaging that delivers unrivaled precision and scale

Our goals


Convulsive seizure behaviors are a hallmark feature of epilepsy, but automated detection of these events in freely moving animals is difficult. Here, we employed the Ramona Kestrel™, a high-resolution multi-camera array microscope with high-speed video acquisition and custom supervised machine learning (ML) for automated detection of larval zebrafish between 3- and 7-days post-fertilization (dpf). We assessed data from over 2700 zebrafish either exposed to a chemoconvulsant (pentylenetetrazole, PTZ) or genetic zebrafish lines representing Developmental Epileptic Encephalopathy (DEE) syndromes.
This paper presents a validation of the Ramona Kestrel™ for automated, high-throughput screening for early-stage drug development and toxicology assessment with zebrafish embryos. The Kestrel™ is a novel high-throughput imaging platform featuring a 24-camera array that enables simultaneous acquisition of high-resolution video data across 96-well plates. This paper validated the system using zebrafish embryonic photomotor response (EPR) assays, demonstrating its ability to track behavioral responses in chorionated and dechorionated embryos without workflow modifications. The system successfully detected concentration-dependent responses to ethanol, methanol, and bisphenol A across different plate formats and well volumes
Here, we present reflective Fourier light field computed tomography (ReFLeCT), a high-speed volumetric fluorescence computational imaging technique. ReFLeCT synchronously captures entire tomograms of multiple unrestrained, unanesthetized model organisms across multi-millimeter 3D FOVs at 120 volumes per second. In particular, we applied ReFLeCT to reconstruct 4D videos of fluorescently labeled zebrafish and Drosophila larvae, enabling us to study their heartbeat, fin and tail motion, gaze, jaw motion, and muscle contractions with nearly isotropic 3D resolution while they are freely moving.
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