Home Engineering Cellular Image Classification
Abstract In this chapter, we firstly introduce the application of optical technology in cellular imaging. Then, we will introduce the fundamentals about analysis and classification of HEp-2 cell images. Our works focus on the efficient feature extraction for staining pattern classification of HEp-2 cells. There are countless features existed for image classification. Firstly we refer some widely used features for describing staining patterns, then we will introduce some fundamental classifiers for staining patterns classification.
Optical Systems for Cellular Imaging
This section introduces application of optical technology in cell imaging, highlighting the basic principle and main features of a list of microscopic techniques, including laser scanning confocal microscope, multi-photon fluorescence imaging, total internal reflection fluorescence microscopy, near-field scanning optical microscopy imaging, and optical coherence tomography. To an extent, these optical imaging techniques have demonstrated characteristics of non-invasive, non-ionizing radiation, and various operating modes, providing a variety of real-time quantification of cellular properties and playing a decisive role in the life science research. Applications of optical imaging technology in life science have a history of over two hundred years, and microscopic analysis has been playing an important role in the biomedical field. Recent progress in laser technology has made remarkable achievements in tissue optics, spectroscopy, imaging technology, optical diagnostics and treatment technology. In many of state-of-the-art biomedical systems in nano-science, such as microarray biochips and one-drop blood diagnosis, optical imaging is a core part that plays a pivotal role in analysis. A new discipline-biomedical photonics has formed, focusing on optical technology in biomedicine.
© Springer International Publishing AG 2017 X. Xu et al., Cellular Image Classification, DOI 10.1007/978-3-319-47629-2_2
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