This Government Contract opportunity from Department Of Health And Human Services was posted on September 17, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Ultra Highspeed Megapixel CMOS Imaging Camera
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The National Institutes of Health, specifically the Cellular Neurophysiology Section at the National Institute of Neurological Disorders and Stroke, intends to award a firm-fixed-price purchase order for a Phantom Veo 1310L mono 72GB memory ultra high speed megapixel CMOS imaging camera. This acquisition is being conducted as a sole-source procurement under FAR Part 6.302-1, identifying Vision Research Inc. as the only responsible source capable of meeting the required technical standards. The equipment is essential for research into the neural circuitry of animal models of Parkinson's Disease, specifically to identify physiological and genetic markers in dopamine neurons. The camera is required to support voltage imaging using fluorescent indicators, necessitating high sensitivity to moderately low light levels and minimal pixel noise to maximize the signal-to-noise ratio. A critical performance requirement is the ability to image at frame rates of 10 kilohertz or above to capture action potentials that occur at 1 millisecond. This technology allows researchers to image large populations of neurons simultaneously, providing a significant advantage over standard electrophysiology approaches like patch clamp. The solicitation, numbered NINDS09426, was posted on September 17, 2026, with a response deadline of September 23, 2026, for any capable small businesses to submit capability statements.
General Info
Place of Performance
Bethesda, MD, 20892, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
This acquisition is to purchase of a ultra high speed megapixel CMOS imaging camera (PHANTOM VEO 1310L, MONO 72GB MEMORY) from Vision Research Inc. The ultra high speed imaging camera from Vision Research will be used in experiments that will be performed by the Cellular Neurophysiology Section at the National Institute of Neurological Disorders and Stroke (CNS/NINDS). The experiments being performed will directly test the effects of alterations in neural circuitry in various animal models of Parkinson’s Disease. Specifically, we are interested in understanding how synaptic and intrinsic conductances expressed on these neurons differ among subpopulations dopamine neurons. We are also interested in understanding how the synaptic and circuit connections onto these cells control their activity and ultimately how they contribute to dopamine dependent behaviors and dysfunction. The hope that this information may provide insight to why SNc dopamine neurons are particularly vulnerable in Parkinson’s disease. Our goal is to identify novel physiological and genetic markers in single SNc dopamine neurons which may be useful in defining subpopulations of these neurons.
To study the circuits that control midbrain dopaminergic neurons, experimenters in the Cellular Neurophysiology Section prepare tissue slices that will be mounted on an electrophysiology setup. Although electrophysiological recordings provide high temporal resolution and require highly specialized knowledge in order to have consistent success. To increase the successful acquisition of this information, we will use an imaging system that will allow us to perform imaging using fluorescent voltage indicators in which the fluorescence intensity correlate to the neuronal membrane voltage. The major component of this system is a high speed camera that is highly sensitive to moderately low light levels and can also image at frame rates that reach at 10 kilohertz or above. This requirement is necessary because action potentials occur at 1 ms. Using the voltage imaging approach, we will be able to image large populations of neurons, tens to hundreds, simultaneously which is not possible using standard electrophysiology approaches such as patch clamp. Lastly, the camera should have the lowest pixel noise possible so that signal to noise ratio can be maximized for use voltage-indicators that have only small changes fluorescence changes in their signal.
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