Optics Express · 2010 · 147 citations · 28 references
EngineeringMicroscopyRefractive Index DistributionBiomedical EngineeringTissue ImagingLive Cancer CellsBiomedical OpticComputational ImagingLight MicroscopyPhase Measurement SensitivityMolecular ImagingNovel Imaging MethodOphthalmologyMedicineLaser MicroscopyBiomedical AnalysisBiophotonicsCancer CellsComputational Optical ImagingCell BiologyRefractive IndexOptical ImagingFluorescence MicroscopySkin OpticsBiomedical ImagingOptical Coherence TomographyQuantitative Phase ImagingImagingCell ImagingQuantitative Measurement
The study demonstrates that full‑field optical coherence microscopy can identify live cancer cells by measuring their refractive‑index distribution. Using FF‑OCM, the authors obtain cell thickness from 0.6‑µm‑resolved en‑face tomograms, extract phase‑gain images, and compute axially averaged RI maps of untreated cells to serve as a biophysical malignancy indicator. With 0.8‑µm axial resolution and ~124‑mrad phase sensitivity, the system produced RI maps showing that cancer cells exhibit higher refractive indices than normal cells, indicating strong potential for label‑free cancer diagnosis and dynamic analysis.
The feasibility of identifying cancer cells by measuring the refractive index (RI) distribution across a single live cell with ultrahigh resolution full-field optical coherence microscopy (FF-OCM) is presented. The FF-OCM is utilized to quantify integral RI distributions of unmodified cells without any cell treatments and used as a biophysical indicator for diagnosing cell malignancy. Firstly, the physical thickness distribution of the cell adherent to a culture dish is measured by taking a series of 0.6 µm resolved en-face tomograms. Subsequently, from the en-face image of the bottom surface of the cell or the top surface of the dish, the phase gain image of the cell is extracted. Then, from these two measurements the axially averaged RI map of the cell is extracted. The implemented FF-OCM system had a 0.8 µm axial resolution and the phase measurement sensitivity of the system was around 124 mrad. With the system, RI maps of several living cell lines of normal and cancer cells were constructed and quantitatively analyzed. The experiments showed that cancer cells had higher RI than normal ones. This approach using the FF-OCM has significant potential for cancer diagnosis and dynamic cell analysis as in situ label-free biophysical assay.
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