A detection algorithm based on matrix factorization for live mitochondria in fluorescent microscopic images

Detection of mitochondria in fluorescent microscopic images is one of the most important methods in studies concerning apoptosis and the nature of life phenomena in the area of biomedical image processing. Limited by fluorescence microscopy, fluorescent microscopic images contain two parts which are the shadow of cytoplasm and live mitochondria, and the signal-to-noise ratio (SNR) of live mitochondria time sequence images is low, which cannot meet the requirements of general particle algorithm. A new detection algorithm was proposed for live mitochondria in fluorescent microscopic images. To realize this method rapidly, augmented Lagrange multiplier algorithm was used. Mitochondria was be separated from the cytoplasm and accurately detected in fluorescent microscopic images. Therefore, the proposed algorithm provides an efficient and accurate tool to detect mitochondria in live cell.