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WELCOME TO FAIS
Florida Analytical Imaging Solutions (FAIS), founded in January 2008, develops integrated early cancer detection systems, combining cell-tissue biomarker expressions with image analysis. Our principal office is located in Tampa, Florida.
FAIS has developed an accurate blood-based cancer diagnostic tool using lab-on-chip microfluidics and proprietary imaging analysis. Using a small blood sample, FAIS can detect pre-malignant epithelial human cancer.
Isolating and producing a high resolution image of the centrosome (the organelle that regulates cell growth) from a circulating tumor cell and then digitally analyzing it, allows FAIS to diagnose pre-malignant cancer with a 97% accuracy rate.
Technically speaking, FAIS has a novel lab-on-chip diagnostic method for the capturing/enrichment of Circulating Tumor Cells (CTC) from peripheral blood samples based on cancer/pre-cancer cell surface and cytomorphological immunomarkers, followed by fluorescent imaging and automated centrosome image analysis of captured immobilized cells to assess metastatic potential. Via a proprietary algorithm, our Centrosome Image System discriminates between cancerous cells and normal cells, in cell-based and histology specimens. Additionally, we’ve developed software that has proven effective in medical image analysis and has also been seamlessly integrated with health records. Centrosome Image System can be used for the early diagnosis of cancer, prognosis of cancers’ progression and in evaluation of cancer treatment response.
With the generous support of our biomedical stakeholders, FAIS can democratize early cancer detection and increase patient survival rates by commercializing a non-invasive diagnostic technology that is convenient, simple to administer, and available to anyone.
We offer state of the art techniques and algorithms ready to use for medical imaging solutions. Our technology has the potential to diagnose and monitor treatment for a variety of Cancers. The revolutionary Centrosome Image System can be used for the early diagnosis of Cancer.
Centrosome Image Denoising
Top surface of original centrosome (few high peaks) image accompanied by noise and uneven background.
Bottom surface after denoising, background removal, and enhancement, noise is depressed, uneven background is removed, centrosomes are preserved.
Left - A cell with a centrosome.
Middle - After global segmentation.
Right - After adaptive local segmentation.