Journal
TECHNOLOGY
Volume 3, Issue 4, Pages 194-200Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S2339547815500089
Keywords
Temporal Image Processing; Cancer Cell Morphology; Human Glioblastoma (hGBM); Cell Imaging; Early Cancer Diagnosis
Categories
Funding
- NIGMS NIH HHS [R01 GM094933] Funding Source: Medline
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1407990] Funding Source: National Science Foundation
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In this paper, we report a one-step tumor cell detection approach based on the dynamic morphological behavior tracking of cancer cells on a ligand modified surface. Every cell on the surface was tracked in real time for several minutes immediately after seeding until these were finally attached. Cancer cells were found to be very active in the aptamer microenvironment, changing their shapes rapidly from spherical to semi-elliptical, with much flatter spread and extending pseudopods at regular intervals. When incubated on a functionalized surface, the balancing forces between cell surface molecules and the surface-bound aptamers, together with the flexibility of the membranes, caused cells to show these distinct dynamic activities and variations in their morphologies. On the other hand, healthy cells remained distinguishingly inactive on the surface over the same period. The quantitative image analysis of cell morphologies provided feature vectors that were statistically distinct between normal and cancer cells.
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