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Digital light processing (DLP)-based (bio)printing strategies for tissue modeling and regeneration

作     者:Hongbin Li Jiliang Dai Zixuan Wang Heshan Zheng Wanlu Li Mian Wang Feng Cheng 

作者机构:MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and StorageSchool of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbinP.R.China College of Light Industry and TextileQiqihar UniversityQiqiharP.R.China Biomanufacturing Center Department of Mechanical EngineeringTsinghua UniversityBeijingP.R.China School of Biomedical Engineering and Med-X Research InstituteShanghai Jiao Tong UniversityShanghaiP.R.China Institute for Regenerative MedicineShanghai East HospitalFrontier Science Center for Stem Cell ResearchSchool of Life Science and TechnologyTongji UniversityShanghaiP.R.China 

出 版 物:《Aggregate》 (聚集体(英文))

年 卷 期:2023年第4卷第2期

页      面:42-61页

核心收录:

学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 08[工学] 0836[工学-生物工程] 

基  金:Natural Science Foundation of China,Grant/Award Number:22005077 Heilongjiang Provincial Universities Basal Research Foundation-Youth Innovation Talent Project,Grant/Award Number:145109210 Natural Science Foundation of Heilongjiang Province of China,Grant/Award Number:LH2021B032 

主  题:disease modeling DLP bioprinting drug screening tissue modeling 

摘      要:Digital light processing(DLP)-based bioprinting technology has recently aroused considerable concerns as a strategy to deliver biomedical materials and/or specific cells to create sophisticated structures for various tissue modeling and *** this review,we display a concise introduction of DLP bioprinting,and a further discussion on the design and manufacture of DLP(bio)printer with varied bioinks and their biomedical applications toward drug screening,disease modeling,tissue repair,and regenerative ***,the advantages,challenges,and perspectives of the DLP printing platforms are *** is believed that DLP bioprinting will play a decisive role in the field of tissue model and regenerative medicine,mainly due to its time-efficient,higher resolution,and amenability to automation for various tissue needs.

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