National Institutes of Health
Light-field miscoscopy for functional zebrafish imaging
Capture imaging data from a custom optical system at 125Gbps
Solutions & Expertise
Optics, sCMOS, FPGA, Data Acquisition, User Interface
Development for Lotus is supported by a Small Business Innovation Research grant from the National Institute of Mental Health of the National Institutes of Health, under Award Number R43MH109332.
Lotus increases the spatial and temporal resolution of light-field microscopy by a combined factor of 100.
Light-field microscopy (LFM) is a functional, plenoptic imaging technique which offers ultrahigh spatial and temporal resolution for 3D tissue samples.
Lotus is an ambitious new imaging project at LeafLabs, the goal is to use light-field microscopy to record spikes from every neuron in the zebrafish brain. This calls for orders-of-magnitude improvements in the resolution and frame rates of current methods, and an immense data acquisition system to capture it all - the information equivalent of 250,000 channels of full-band ephys data
The project is a collaboration between LeafLabs and the Synthetic Neurobiology Group at MIT.
The Lotus proposal calls for the use of 16 custom FPGA boards (based on the Willow architecture) recording in sync from an array of CMOS sensors. The anticipated data rate is 125 Gbps, or about 4 times as much as the ALICE detector at CERN.
For information about the Lotus project, contact firstname.lastname@example.org