SOLICITATION NOTICE
B -- Identify features of facial and/or respirator variation
- Notice Date
- 5/18/2007
- Notice Type
- Solicitation Notice
- NAICS
- 541710
— Research and Development in the Physical, Engineering, and Life Sciences
- Contracting Office
- Department of Health and Human Services, Center for Disease Control and Prevention, Acquisition and Assistance Field Branch (Pittsburgh), Post Office Box 18070 Cochrans Mill Road, Pittsburgh, PA, 15236-0070, UNITED STATES
- ZIP Code
- 00000
- Solicitation Number
- Reference-Number-000HCCLG-2007-43322
- Response Due
- 6/2/2007
- Archive Date
- 6/18/2007
- Small Business Set-Aside
- Total Small Business
- Description
- The National Institute for Occupational Safety and Health, National Personal Protective Technology Laboratory has a requirement to identify features of facial and /or respirator variation that influence respirator effectiveness using modern methods of biological shape analysis (morphometrics). Compare identified features to those obtained from traditional measurement protocols and identify, if possible, simple and efficient derived measurements relevant to respirator fitting/efficacy. In accordance with FAR 13.106-1(b)(1) the only known source with unique knowledge of statistical and geometric methods related to the analysis of the coordinates of anatomical landmarks, geometric morphometrics is Dr. Dennis Slice, Ph.D.,Winston-Salem, NC. The assessment of respirator efficacy is fairly straightforward through the use of equipment such as the Portacount (TSI, INC.) device that measures the ratio of small particles inside and outside of a mask during operation. More challenging is identifying those aspects of morphological variation that are associated with the performance of a given array of respirators. The standard approach has been through the analysis of the correlation of traditional anthropometric measurements such as facial length, breadth, etc., with measures of respirator fit. In recent years, however, more powerful and efficient morphometric methods have been developed that are based on the analysis of superimposed sets of anatomical landmarks. The Cartesian coordinates of such data concisely encode all of the information from any traditional measurements that could be defined with respect to the same set of anatomical points. In theory, the use of these coordinate-based methods should provide the most comprehensive and powerful approach to relating variation in facial morphology to respirator performance, yet the assessment of these methods for this purpose has only just begun. The current project requires unique knowledge of statistical and geometric methods related to the analysis of the coordinates of anatomical landmarks ? geometric morphometrics. No solicitation is available; however, interested parties may request a copy of the Statement of Work including deliverables. Responsible sources that believe they possess the expertise and capabilities identified above are encouraged to submit to the Contracting Officer within 15 days from the posting date of this notice their capabilities statement and supporting information in the format they choose, not to exceed 10 pages. Please forward capabilities and supporting information to: Margaret L. Mooney, Reference 00HCCLG-2007-43322, CDC, NIOSH, 626 Cochrans Mill Road, Pittsburgh, PA 15236, MMooney@cdc.gov. All vendors must be registered in the Central Contractor Registry (CCR) prior to award of a federal contract. Vendors may register at www.ccr.gov. The government will review any/all capabilities statements and supporting information submitted and determine if other qualified sources do exist that could perform the effort. Information received in response to this notice will be used solely for the purpose of determining whether to conduct a competitive procurement. If no affirmative responses are received within 15 days, negotiations will be conducted with Dr. Dennis Slice as the only source and a purchase order will be issued without any additional notices being posted. Over the past two decades Dr. Slice has been especially known for the development and application of methods and software for geometric morphometrics. He developed the first widely available and user-friendly software for the application of geometric morphometric methods to three (or higher) dimensional data sets. The program was called GRF-ND, which stood for Generalized Rotational Fitting ? N-Dimensions. The GRF-ND program was superceded in the last decade by his platform-independent program, Morpheus et al., and this software is currently being completely rewritten in Java to take advantage of the language's inherent platform independence and the Java3D visualization tools. NIOSH intends to use Dr. Slices original software.
- Place of Performance
- Address: NIOSH, Pittsburgh, Cochrans Mill Road, Pittsburgh, PA
- Zip Code: 15236-0070
- Country: UNITED STATES
- Zip Code: 15236-0070
- Record
- SN01298000-W 20070520/070518220418 (fbodaily.com)
- Source
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