Description: A current problem in examination of histologic |
preparation is the lack of easily quantifiable tissue-cell recognition systems like the flow cytometry analysis of disaggregated cell suspension of fresh live tissue. Subjectivity is a problem in quantifying immunohistochemically stained or histochemically stained cells in biologic tissue. This problem is recognized by pathologists in clinical practice as well as those engaged in research and is brought about not by lack of skills but by the lack of a tool to perform objective microscopy. Patient samples given a subjective analysis can potentially lead to misdiagnosis and mistreatment. In addition, an objective standard is required for the pharmaceutical industry and research. The subject matter of the proposed patent is a methodology of detecting cells or intracellular molecules in fixed or archival tissue or in the microscopic cytology slide samples.
A method of quantifying immunohistochemically stained cells in tisssue has been developed, and a working prototype is currently available. This prototype is highly automated and uses a novel achromatic- decoherent technology developed by the inventor. The analysis is performed using any slide-embedded tissue previously immunostained or histochemically stained with any relevant marker. The marker signature is accurately identified and the target cells run through a cell recognition algorithm.
The method uses readily available microscope-based imaging equipment and independent of the computer operating system. The digitized images can be obtained directly or via the internet medium. The methodology is transferred into computer software that can be utilized in diagnostic equipment to efficiently identify cells or molecules detected immunohistochemically or histochemically. This technology is not available in the market. Similar commercial systems only identifies cells in a “needle in a haystack” paradigm while this system identifies relevant cells or molecules, counts the positive (marked) ones, and also counts relevant but unmarked cells, quantifies the relative density of epitopes or reagents present and displays the result in a statistical table or images on the monitor.
The key benefit of the discovery is to provide a quantifiable result for diagnosis of histochemically or immunohistochemically stained tissue; identify presence and density of relevant molecules (prognostic or diagnostic, or genetic marker) for the said purposes; and minimizing the inherent subjectivity in microcopic examination. Ancillary benefits may be larger in scope since the technique could be applicable to any recognition problems involving the macroscopic or microscopic images.
For more information please contact Kellen Sensor at 513-558-5621 or Kellen.Sensor@uc.edu