SOURCES SOUGHT
66 -- In-Vivo Electrophysiology Rig
- Notice Date
- 7/30/2019
- Notice Type
- Synopsis
- NAICS
- 334519
— Other Measuring and Controlling Device Manufacturing
- Contracting Office
- Department of Veterans Affairs;Network Contracting Office 20;5115 NE 82nd Ave, Suite 102;Vancouver WA 98662
- ZIP Code
- 98662
- Solicitation Number
- 36C26019Q0654
- Response Due
- 8/6/2019
- Archive Date
- 9/5/2019
- Point of Contact
- gregoory.watson2@va.gov
- Small Business Set-Aside
- N/A
- Description
- Page 3 of 3 Special Notice Request for Information Only The Department of Veterans Affairs, NCO20 is looking for sources of the following. STATEMENT OF WORK/SALIENT CHARACTERISTICS Department of Veterans Affairs Seattle VA Medical Center Overview: Seattle VAMC requires Prospective contractors to provide the following 1 ea In Vivo Electrophysiology Rig. Brand Name or Equal per FAR 52.211-6 Brand Name or Equal to Tucker-Davis Technologies. 1 EA In Vivo Electrophysiology Rig Integrated package that includes in vivo electrophysiology and fiber with video tracking data in one system: Digital I/O lines for acquiring and trigger external devices Analog inputs and outputs for control of external devices Commutators with through hole for optogenetic stimulation and fiber photometry acquisition. Video tracking system with hardware triggered frame event capture o Built in event markers to match Video signal with neural signals o Video display software integrated in neural recording replay setup Fiber photometry components One application for multiple neural signal types (types include: 1) single unit recordings, 2) local field potentials, 3) neural oscillations including theta, gamma, delta, alpha, beta, and 4) time-locked stimulation and inhibitory responses of all of these in relation to specific stimulation/inhibition parameters and specific behavioral responses). Objective: To Provide the Seattle VAMC with a complete integrated system for electrophysiology, optogenetic stimulation, fiber photometry and video tracking. Please note that this rig is for evaluating pre-clinical models of dementia and cognitive function, and will serve to advance our understanding of the pathophysiology of brain changes in conditions such as brain injury, dementias including Alzheimer disease, and interventions such as medications or gene therapy that could potentially be used as treatments for these debilitating conditions affecting veterans. What this means is that this rig will allow us to study specific neural/plastic changes in the brain while an animal (mouse or rat) is awake and performing a specific behavioral task, such as learning, making a memory, or making a decision. Salient Characteristics The In Vivo Electrophysiology Rig must have: 1) A system for fiber photometry. Fiber photometry is a method for detecting a local response from fluorescent method that detects activity from GCaMP expressed neurons in distinct areas of the brain. 2) A system for recording neural activity from multiple regions of the brain using electrophysiology with multielectrode arrays. 3) A system for tracking the position and the behavior of an animal in 2 dimensions. 4) (paramount!) System must incorporate the video capture and neural recordings, and electrical or optogenetic stimulation into one application--and the clock for the video tracker must be time-locked to the electrophysiology/stimulation software. 3U rack mountable devices: 32-channel multi-modal neurodigitizer: suitable for recording a broad range of biological potentials. Its analog input boards must be able to combine the functionality of multiple amplifiers in a single device that can be used for both high and low impedance input signals simultaneously. The neurodigitizer may also include digital input boards for inputting signals from an amplifier board with up to 128 channels. Analog input board oversample the input signals with very fast instrumentation grade converters, and the system must have an A/D circuit yielding 28 bits of resolution and unparalleled dynamic range. Optional DC coupling offers zero phase distortion across the signal bandwidth. Sampling rate and down-sampling filters can be optimized on each logical amplifier for the intended input type to optimize signal fidelity. The +/-500 mV input range is large enough to accept any biological potential and most stimulus artifacts without saturating. It uses 45 watts of power 120 Volt 60 Hz AC power supply with a minimum of 10 Amps. Computer workstation: equipped with an appropriate interface and 240 GB Solid State Drive (SSD) with pre-installed Integrative (see SSJ) software, and 64-bit Windows 7 ® for fast system booting, reliable operation, and easy set-up. The workstation configuration must be optimized for the most demanding applications, such as high-channel count neurophysiology, and include premium peripherals and includes two Gigabit Ethernet network ports for flexible integration to existing lab infrastructure or external device support, and use up to 700 watts of power. Video Processor system: provides digital video recording and real-time tracking. Video is streamed from the Gigabit machine vision color camera (VGAC) to the dedicated video processor where it is processed and stored. A number of methods support robust target tracking including red/green LEDs mounted on a specific headstage or limb tracking. Positional information must be available in real-time on the device and can be processed and/or stored. Camera triggering must be precisely synchronized to the video processor, allowing frame by frame correlation between video data and other recorded data, such as neural signals. Image data is stored on dedicated hard drives within the video processor in DIVX encoded AVI files. Access to the video processor storage array should be provided through a LAN connection or direct connection to a PC, and uses 350 watts of power. Other hardware components: Motorized commutator with built-in support for both neural recording and optogenetic stimulation: The commutator actively tracks rotation on a headstage cable connected to a behaving subject and then spins the motor to compensate, eliminating turn-induced torque at the subject s end of the cable. The commutator is typically used for systems acquiring neural recordings from up to 32 analog channels (analog headstages and an amplifier) or up to 192 digital channels (digital headstages and a headstage manifold). Built-in electrical shielding ensures an ultra-quiet environment for recording and lightweight cables and connectors minimize the torque caused by subject motion. Pushbuttons allow for optional manual control of the commutator motor, and an input BNC can be used to inhibit the motor during critical recording periods. A banana jack provides access to ground, so that users can connect the commutator ground to an external ground, such as a faraday cage, to minimize ground loops. It includes a fiber optic rotary joint with single-channel optical fiber assembly may be added to allow optical targeting and excitation on neural circuits for artifact free stimulation. The optical assembly is user serviceable to allow for easy optical fiber replacement. Battery powered amplifier: must charge with a 45 watt charger and a commutator to minimize damage to electrodes and fiber optic components. This should charge with a 12 watt supply. Two monitors: (to visualize electrophysiological, fiber photometry data, and behavioral data in real time) with AC power requirements and a 20 Watt power requirement. Integrative software program must: Incorporate the video capture and tracking into one application--and the clock for the video tracker must be time locked to the electrophysiology software. Free software upgrades for the life of the product Have special software which uses experiment templates to automate all (steps including quantification of: time spent in specific zones, locomotion, lever presses, nose pokes, head entries, rewards such as pellets or licking, time spent freezing) but the highest level design steps. Allow for control of the In Vivo Electrophysiology Rig hardware and software by accessing the most commonly modified configuration settings on simple tabs. Automatically detect In Vivo Electrophysiology Rig hardware and tailor presented options to only those relevant to the system s configuration. Ability to add on multiple rigs, allow for users to move experiments seamlessly from workstation to workstation even if the underlying hardware varies. Provide free software upgrades for the life of the product GREY MARKET REQUIREMENTS (a) Gray market items are Original Equipment Manufacturer s (OEM) goods sold through unauthorized channels in direct competition with authorized distributors. This procurement is for new OEM medical supplies, medical equipment and/or services contracts for maintenance of medical equipment (i.e. replacement parts) for VA Medical Centers. No remanufactures or gray market items will be acceptable. (b) Vendor shall be an OEM, authorized dealer, authorized distributor or authorized reseller for the proposed medical supplies, medical equipment and/or services contracts for maintenance of medical equipment (i.e. replacement parts), verified by an authorization letter or other documents from the OEM, such that the OEM s warranty and service are provided and maintained by the OEM. All software licensing, warranty and service associated with the medical supplies, medical equipment and/or services contracts for maintenance of medical equipment shall be in accordance with the OEM terms and conditions. (c) The delivery of gray market items to the VA in the fulfillment of an order/award constitutes a breach of contract. Accordingly, the VA reserves the right enforce any of its contractual remedies. This includes termination of the contract or, solely at the VA s election, allowing the Vendor to replace, at no cost to the Government, any remanufactured or gray market item(s) delivered to a VA medical facility upon discovery of such items. This is not a request for competitive quotes; however, any firm that believes it can meet these requirements vendor may give written notification to the Contracting Officer within 6 days from the date of the publication of this synopsis. Any response to this notice must show clear and convincing evidence that competition would be advantageous to the Government. Only authorized representatives of the manufacturer will be considered. Equipment must be new, no used or refurbished equipment accepted. Responses are due by 08/06/2019 5:00 pm PST. In accordance with FAR and VAAR Part 8 and/or 13, this notice document and incorporated provisions and clauses are those in effect through Federal Acquisition Circular 2005-95, 19 Jan 2017. The North America Industry Classification System Code (NAICS) is 334519. Business Size Standard is 500 Employees. Contracting Office Address: Department of Veterans Affairs NCO 20 Acquisitions 5115 NE 82nd Ave Suite 203 Vancouver, WA 98662 Contracting POC Gregory Watson 360-553-7602 gregory.watson2@va.gov DISCLAIMER This RFI is issued solely for information and planning purposes only and does not constitute a solicitation. All information received in response to this RFI that is marked as proprietary will be handled accordingly. In accordance with FAR 15.201(e), responses to this notice are not offers and cannot be accepted by the Government to form a binding contract. Responders are solely responsible for all expenses associated with responding to this RFI. NOTE: THIS NOTICE WAS NOT POSTED TO FEDBIZOPPS ON THE DATE INDICATED IN THE NOTICE ITSELF (30-JUL-2019); HOWEVER, IT DID APPEAR IN THE FEDBIZOPPS FTP FEED ON THIS DATE. PLEASE CONTACT 877-472-3779 or fbo.support@gsa.gov REGARDING THIS ISSUE.
- Web Link
-
Link To Document
(https://www.fbo.gov/spg/VA/PoVAMC/VAMCCO80220/36C26019Q0654/listing.html)
- Place of Performance
- Address: Seattle VA Medical Center;1660 South Columbian Way;Seattle, WA
- Zip Code: 98108
- Country: USA
- Zip Code: 98108
- Record
- SN05385832-F 20190801/190730230027 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
| FSG Index | This Issue's Index | Today's FBO Daily Index Page |