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STOCHASTIC MODELING OF SPERM MOTILITY

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
5216
Program Year/Program:
1987 / SBIR
Agency Tracking Number:
5216
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Daniel H. Wagner, Associates, Incorporated
559 West Uwchlan Avenue Suite 140 Exton, PA 19341-3013
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1987
Title: STOCHASTIC MODELING OF SPERM MOTILITY
Agency: NSF
Contract: N/A
Award Amount: $40,000.00
 

Abstract:

THE OBJECTIVE ADDRESSED IS TO USE STOCHASTIC PROCESS METHODS TO CHARACTERIZE MOTILITY OF HUMAN SPERM AND THEREBY TO DISCRIMINATE BETWEEN FERTILE AND NON-FERTILE DONORS. A LANGEVIN EQUATION IS CONJECTURED AS A MODEL OF SPERM MOTILITY AFTER LOCAL PROGRESSIVITY IS SUBTRACTED DETERMINISTICALLY. DISCRETIZATION RENDERS THIS AS A STATIONARY SECOND-ORDER AUTOREGRESSIVE PROCESS. THE THREE PARAMETERS ARE TO BE ESTIMATED FROM TWO-DIMENSIONAL MOTION DATA OBSERVED IN NUMEROUS SPERM SAMPLES. SUBSTANTIAL SAMPLES ARE AVAILABLE ON SPERM FROM HUMANS AND OTHER ANIMALS OF KNOWN FERTILITY OR NON-FERTILITY. BY ESTIMATION FROM THESE DATA, FERTILE AND NON-FERTILE SUBSETS OF R4 (THREE PARAMETERS PLUS PROGRESSIVITY) ARE THUS TO BE FORMED. DISCRIMINANTS FOR INDIVIDUAL DONORS AND LARGER GROUPS WILL BE SOUGHT, BY PROJECTION PURSUIT METHODS. THE RESULT SHOULD DEMONSTRATE FEASIBILITY OF IMPROVED MALE FERTILITY DIAGNOSIS BY SUCH STOCHASTIC PROCESS METHODS, WITH EASE OF COMPUTABILITY FROM OBSERVABLE DATA. GIVEN SUCH A PHASE I DEMONSTRATION OF FEASIBILITY, A PHASE II OBJECTIVE WOULD BE DEVELOPMENT OF CLINICAL DIAGNOSTIC PROCEDURES BASED ON SUCH METHODS.

Principal Investigator:


0

Business Contact:

Dr. Bernard J. Mccabe
Vice President
Small Business Information at Submission:

Wagner D H Assocs Inc
Station Square One Paoli, PA 19301

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No