Microstrip isoelectric focusing with deep learning for simultaneous screening of diabetes, anemia, and thalassemia.

Journal: Analytica chimica acta
PMID: 38834281

Abstract

BACKGROUND: Hemoglobin (Hb) is an important protein in red blood cells and a crucial diagnostic indicator of diseases, e.g., diabetes, thalassemia, and anemia. However, there is a rare report on methods for the simultaneous screening of diabetes, anemia, and thalassemia. Isoelectric focusing (IEF) is a common separative tool for the separation and analysis of Hb. However, the current analysis of IEF images is time-consuming and cannot be used for simultaneous screening. Therefore, an artificial intelligence (AI) of IEF image recognition is desirable for accurate, sensitive, and low-cost screening.

Authors

  • Haodong Fu
    Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou, 571158, PR China; School of Sensing Science and Engineering, SJTU-Biochine Research Center, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
  • Youli Tian
    School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Genhan Zha
    School of Sensing Science and Engineering, School of Electronic Information & Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Xuan Xiao
    Computer Department, Jingdezhen Ceramic Institute, Jingdezhen 333046, China.
  • Hengying Zhu
    NHC key Laboratory of Thalassemia Medicine, Key Laboratory of Thalassemia Medicine, Chinese Academy of Medical Sciences, Guangxi Key laboratory of Thalassemia Research, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, PR China.
  • Qiang Zhang
    Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
  • Changjie Yu
    School of Sensing Science and Engineering, SJTU-Biochine Research Center, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
  • Wei Sun
    Sutra Medical Inc, Lake Forest, CA.
  • Chang Ming Li
    School of Materials Science and Engineering, Institute for Advanced Materials and Devices, Suzhou University of Science and Technology, Suzhou, 215009, PR China.
  • Li Wei
    The First Affiliate Hospital of Guangzhou Medical University, Guangzhou, China.
  • Ping Chen
    Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Chengxi Cao
    School of Electronic Information & Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

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