Cell misuse and cross-contamination can affect the accuracy of cell research results and result in wasted time, manpower and material resources. Thus, cell line identification is important and necessary. At present, the commonly used cell line identification methods need cell staining and culturing. There is therefore a need to develop a new method for the rapid and automated identification of cell lines.
In a study published in Journal of Biophotonics, a research group led by Prof. LI Bei and his Doctoral student LIU Bo from Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences (CAS) proposed a novel method for classification of pathogenic bacteria, which combines Raman spectroscopy, Variational Auto‐encoder (VAE) and Long Short-Term Memory network (LSTM).
Raman spectroscopy has been widely used for microbial analysis due to its exceptional qualities as a rapid, simple, non-invasive, and real-time monitoring tool. The Raman spectrum of a cell is a superposition of the spectral information of all biochemical components in the laser focus.
In a study published in Nature Communications, the team of Professor CHENG Jixin from Boston University and researcher ZHU Hongbo from Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences (CAS) reported the progress of the research on the realization of high-resolution, high-speed volumetric quantitative chemical imaging of biomolecular information using a three-dimensional bond-selective and computational mid-infrared photothermal microscope.
In a study published in Analytical Methods, a research group led by LI Bei from the Changchun Institute of Optics and Precision Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences (CAS) proposed Rapid detection of beer spoilage bacteria based on label-free Surface-Enhanced Raman Spectroscopy (SERS) technology.
In a study published in Optics Letters, Prof. MENG Qingyu and his Doctoral student QIN Zichang from Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of Chinese Academy of Sciences (CAS) proposed a desensitization design method for freeform optical system based on local-curve-control, which can effectively reduce the error sensitivity of freeform optical systems.
中文
