A deep learning-based pipeline for analyzing the influences of interfacial mechanochemical microenvironments on spheroid invasion using differential interference contrast microscopic images.

Autor: Ngo TKN; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan., Yang SJ; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia., Mao BH; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan., Nguyen TKM; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan., Ng QD; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia., Kuo YL; Department of Surgery, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan.; Department of Surgery, National Cheng Kung University Hospital, Tainan, 70101, Taiwan., Tsai JH; Department of Internal Medicine, National Cheng Kung University Hospital, Tainan, 70101, Taiwan., Saw SN; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia., Tu TY; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, 70101, Taiwan.; Medical Device Innovation Center, National Cheng Kung University, Tainan, 70101, Taiwan.

Publikováno v: Materials today. Bio [Mater Today Bio] 2023 Sep 26; Vol. 23, pp. 100820. Date of Electronic Publication: 2023 Sep 26 (Print Publication: 2023).

Biomimetic Silica Particles with Self-Loading BMP-2 Knuckle Epitope Peptide and Its Delivery for Bone Regeneration.

Autor: Ki MR; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.; Institute of Industrial Technology, Korea University, Sejong 30019, Republic of Korea., Nguyen TKM; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea., Park TI; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea., Park HM; Department of Chemical Engineering and Applied Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea., Pack SP; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.

Publikováno v: Pharmaceutics [Pharmaceutics] 2023 Mar 25; Vol. 15 (4). Date of Electronic Publication: 2023 Mar 25.

The NT11, a novel fusion tag for enhancing protein expression in Escherichia coli.

Autor: Nguyen TKM; Department of Biotechnology and Bioinformatics, Korea University, 2511 Sejong-Ro, Sejong, 30019, South Korea., Ki MR; Department of Biotechnology and Bioinformatics, Korea University, 2511 Sejong-Ro, Sejong, 30019, South Korea., Son RG; Department of Biotechnology and Bioinformatics, Korea University, 2511 Sejong-Ro, Sejong, 30019, South Korea., Pack SP; Department of Biotechnology and Bioinformatics, Korea University, 2511 Sejong-Ro, Sejong, 30019, South Korea. spack@korea.ac.kr.

Publikováno v: Applied microbiology and biotechnology [Appl Microbiol Biotechnol] 2019 Mar; Vol. 103 (5), pp. 2205-2216. Date of Electronic Publication: 2019 Jan 04.