Empowering Low-Cost CMOS Cameras by Image Processing to Reach Comparable Results with Costly CCDs

摘要: Despite the huge research effort to improve performance of complementary metal oxide semiconductor (CMOS) image sensors, charge-coupled devices (CCDs) still dominate cell biology-related conventional fluorescence microscopic imaging market where low or ultra-low noise is required. A detailed comparison sensor specifications and usually not provided by manufacturers which leads end users go out habitude choose a CCD camera instead CMOS one. However, depending on application, cameras, when empowered processing algorithms, can become cost-efficient solutions for microscopy. In this paper, we introduce an application-based comparative study between default inverted microscope (Nikon Ti-S Eclipse) custom-designed apply efficient algorithms cameras. Quantum micro-bead samples (emitting light at different intensity levels), breast cancer diagnostic tissue samples, Caco-2 are imaged both The results show reliability processed images finally be assistance scientists select their cameras desired applications.