Cell-Sensitive Phase Contrast Microscopy Imaging by Multiple Exposures


We propose a novel way of imaging live cells in a Petri dish by the phase contrast microscope. By taking multiple exposures of phase contrast microscopy images on the same cell dish, we estimate a cell-sensitive camera response function which responds to cells' irradiance signals but generates a constant on non-cell background signal. The result of this new microscopy imaging is visually superior quality, which reveals the appearance details of cells and suppresses background noise near zero. Using the cell-sensitive microscopy imaging, cells' original irradiance signals are restored from all exposures and the irradiance signals on non-cell background regions are restored as a uniform constant (i.e., the imaging system is sensitive to cells only but insensitive to non-cell background). The restored irradiance signals greatly facilitate the cell segmentation by simple thresholding. The experimental results validate that high quality cell segmentation can be achieved by our approach.


Computer Science

Keywords and Phrases

Cytology; Image Reconstruction; Image Segmentation; Restoration; Background Signals; Camera Response Functions; Cell Image Segmentation; Microscopy Image Analysis; Microscopy Imaging; Phase Contrast Microscopes; Phase-Contrast Microscopy; Phase-Contrast Microscopy Images; Cells; Algorithm; Article; Camera; Controlled Study; Digital Imaging; Exposure; Fluorescence Imaging; Image Analysis; Image Quality; Image Reconstruction; Intermethod Comparison; Measurement Accuracy; Microscope Image; Noise Reduction; Petri Dish; Phase Contrast Microscope; Phase Contrast Microscopy; Priority Journal; Sensitivity and Specificity; Signal Detection; Algorithm; Automated Pattern Recognition; Cell Tracking; Computer Assisted Diagnosis; Image Enhancement; Image Subtraction; Phase Contrast Microscopy; Procedures; Reproducibility; Algorithms; Cell Tracking; Image Enhancement; Image Interpretation; Computer-Assisted; Microscopy; Phase-Contrast; Pattern Recognition; Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Cell Image Segmentation; Image Restoration; Microscopy Image Analysis; Microscopy Imaging Model

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Document Type

Article - Journal

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© 2015 Elsevier, All rights reserved.

Publication Date

01 Oct 2015