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A Survey of Micro-expression Recognition Methods Based on LBP, Optical Flow and Deep Learning. Neural Process Lett 2023. [DOI: 10.1007/s11063-022-11123-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Li B, Ma X, Cheng J, Tian T, Guo J, Wang Y, Pang L. Droplets microfluidics platform-A tool for single cell research. Front Bioeng Biotechnol 2023; 11:1121870. [PMID: 37152651 PMCID: PMC10154550 DOI: 10.3389/fbioe.2023.1121870] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 04/03/2023] [Indexed: 05/09/2023] Open
Abstract
Cells are the most basic structural and functional units of living organisms. Studies of cell growth, differentiation, apoptosis, and cell-cell interactions can help scientists understand the mysteries of living systems. However, there is considerable heterogeneity among cells. Great differences between individuals can be found even within the same cell cluster. Cell heterogeneity can only be clearly expressed and distinguished at the level of single cells. The development of droplet microfluidics technology opens up a new chapter for single-cell analysis. Microfluidic chips can produce many nanoscale monodisperse droplets, which can be used as small isolated micro-laboratories for various high-throughput, precise single-cell analyses. Moreover, gel droplets with good biocompatibility can be used in single-cell cultures and coupled with biomolecules for various downstream analyses of cellular metabolites. The droplets are also maneuverable; through physical and chemical forces, droplets can be divided, fused, and sorted to realize single-cell screening and other related studies. This review describes the channel design, droplet generation, and control technology of droplet microfluidics and gives a detailed overview of the application of droplet microfluidics in single-cell culture, single-cell screening, single-cell detection, and other aspects. Moreover, we provide a recent review of the application of droplet microfluidics in tumor single-cell immunoassays, describe in detail the advantages of microfluidics in tumor research, and predict the development of droplet microfluidics at the single-cell level.
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Affiliation(s)
- Bixuan Li
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Xi Ma
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Jianghong Cheng
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Tian Tian
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Jiao Guo
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Yang Wang
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
- *Correspondence: Yang Wang,
| | - Long Pang
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
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Zhao J, Wu M, Zhou L, Wang X, Jia J. Cognitive psychology-based artificial intelligence review. Front Neurosci 2022; 16:1024316. [PMID: 36278021 PMCID: PMC9582153 DOI: 10.3389/fnins.2022.1024316] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 09/13/2022] [Indexed: 12/02/2022] Open
Abstract
Most of the current development of artificial intelligence is based on brain cognition, however, this replication of biology cannot simulate the subjective emotional and mental state changes of human beings. Due to the imperfections of existing artificial intelligence, this manuscript summarizes and clarifies that artificial intelligence system combined with cognitive psychology is the research direction of artificial intelligence. It aims to promote the development of artificial intelligence and give computers human advanced cognitive abilities, so that computers can recognize emotions, understand human feelings, and eventually achieve dialog and empathy with humans and other artificial intelligence. This paper emphasizes the development potential and importance of artificial intelligence to understand, possess and discriminate human mental states, and argues its application value with three typical application examples of human–computer interaction: face attraction, affective computing, and music emotion, which is conducive to the further and higher level of artificial intelligence research.
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Affiliation(s)
- Jian Zhao
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Mengqing Wu
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Liyun Zhou
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Xuezhu Wang
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Jian Jia
- Medical Big Data Research Center, Northwest University, Xi’an, China
- School of Mathematics, Northwest University, Xi’an, China
- *Correspondence: Jian Jia,
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