SBIR-STTR Award

Semi-automated Prenatal Screening using Maternal Blood
Award last edited on: 8/30/04

Sponsored Program
SBIR
Awarding Agency
NIH : NICHD
Total Award Amount
$773,119
Award Phase
2
Solicitation Topic Code
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Principal Investigator
Fatima A Merchant

Company Information

Advanced Digital Imaging Research LLC (AKA: Perceptive Scientific Instruments Inc)

104 Pecan Drive
Friendswood, TX 77546
   (281) 992-1212
   info@adires.com
   www.adires.com
Location: Single
Congr. District: 14
County: Galveston

Phase I

Contract Number: 1R43HD037308-01
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
1999
Phase I Amount
$81,600
The goal of this project is to develop automated instrumentation and digital image analysis techniques to support the expeditious detection of fetal cells for prenatal diagnosis from maternal blood. The ultimate goal of current research in the field is to make low-cost, low-risk prenatal genetic screening widely available. Current emphasis is on simple, fast, practical methods for enrichment and genetic testing of fetal cells. This project combines a novel sample preparation approach with speedy automated cell detection for interactive aneuploidy evaluation by FISH. Our approach incorporates fetal cell isolation by routine density gradient centrifugation, followed by uncomplicated May-Giemsa specimen staining. The automated screening process uses transmitted light (not fluorescence) for cell-finding, making it less expensive and faster (due to short integration times). Genetic testing can then be either automatic FISH dot-counting or visual analysis. The Phase I project will evaluate the feasibility of this approach to non-invasive prenatal testing. In Phase II we will build a prototype and test it in a clinical environment. Phase III will focus on commercialization of the system, making fetal screening available to virtually the whole population. This innovative technological approach has the potential to revolutionize the future of prenatal diagnosis. PROPOSED COMMERCIAL APPLICATION As soon as the techniques are developed and qualified for routine application, they will be incorporated into PSI'S PowerGene product line of cytogenetics automation equipment, both in new systems sold and as an upgrade to existing systems already in use in cytogenetics labs. Thus commercialization of the technology developed under this project will occur quickly.

Thesaurus Terms:
biomedical automation, biomedical equipment development, digital imaging, genetic screening, image processing, pregnancy circulation, prenatal diagnosis chromosome disorder, cytodiagnosis, diagnosis design /evaluation, embryo /fetus cell /tissue bioimaging /biomedical imaging, cell sorting, density gradient ultracentrifugation, female, fluorescent in situ hybridization

Phase II

Contract Number: 2R44HD037308-02
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2003
(last award dollars: 2004)
Phase II Amount
$691,519

Scientists have documented the phenomenon of fetal ceils in maternal blood, and envisioned using them for noninvasive prenatal screening. A key limiting factor is the small number of fetal cells in the maternal circulation, making fetal cell isolation difficult and limiting the accuracy of genetic analysis. Current emphasis is on simple, practical and reproducible methods for enrichment and genetic testing of fetal cells. The goal of this project is to develop simple semi-automated methods for enrichment, detection, and diagnosis of fetal cells in maternal blood. This project combines recent advances in fetal progenitor cell research, with a novel enrichment approach, and speedy automated cell detection for prenatal genetic analysis. In the Phase I study we evaluated the feasibility of automatically detecting May-Giemsa stained nucleated red blood cells (NRBCs) using transmitted light microscopy, followed by fetal gender and/or aneuploidy detection via fluorescent in-situ hybridization (FISH). Our results demonstrated that NRBCs are present in the maternal blood stream during pregnancy, and can be effectively enriched to proportions that are conducive to automated cell detection. We also observed that these cells may not be the ideal target cell, because most of these cells are at late stages of differentiation and undergoing apoptosis. Moreover, we found that the suitability of NRBCs for FISH analysis was highly variable as it is related to its state of differentiation. Consequently, we evaluated the potential of fetal progenitor cells as an alternative cell type for prenatal screening. For separation and enrichment, we employed a more simple isolation method that would allow for detection of more that one fetal progentior cell type. We adopted the Rosette Method (StemCell Technologies, Inc) to achieve the selective enrichment of hematopoietic progenitor cell types from whole blood with reduced cell loss. The enriched samples were then successfully processed via FISH to identify male fetal cells in maternal blood. In the Phase II study, we will (i) evaluate automated analysis for detection efficiency of fetal cells based on the presence of FISH signals in the clinical environment, and (ii) relocate fetal cells identified in aim 1 and record fetal cell descriptors based on cellular shape, density, and size. This information will then be used to further develop automated parameters for morphological identification of progenitor fetal cells, and (iii) based on the results of aim 1 and 2, we will implement the final modifications and/or optimizations to fully develop a semi-automated imaging system for the detection and analysis of fetal cells in maternal blood using transmitted and fluorescence microscopy. The ultimate goal of much of the current research in medical cytogenetics is to make low-cost, low-risk prenatal genetic screening widely available. This project will develop instrumentation that will be vital in the realization of this goal. The innovative technological approach presented here has the potential to revolutionize the future of prenatal diagnosis.

Thesaurus Terms:
biomedical automation, biomedical equipment development, cell morphology, diagnosis design /evaluation, digital imaging, genetic screening, image processing, pregnancy circulation, prenatal diagnosis chromosome disorder, cytodiagnosis, cytogenetics, embryo /fetus cell /tissue bioimaging /biomedical imaging, cell sorting, clinical research, female, fluorescence microscopy, fluorescent in situ hybridization, human subject