Yifan Ma

Aug 14, 2024 | dx.doi.org | Fangtian Liu |Yang Wu |Min Long |Yifan Ma

As stated in the abstract of this publication, “the crayfish shell-based organic skeleton with improved strength (14.37 to 60.13 MPa) and toughness (24.61 to 278.98 MJ m–3) was prepared by purposefully removing the inorganic components of crayfish shells through a simple two-step acid-alkali treatment”. Because of the miscalculation (the percent values of strain were neglected), we are correcting the values of toughness and stiffness.

Feb 22, 2024 | dx.doi.org | Fangtian Liu |Yang Wu |Min Long |Yifan Ma

Download Hi-Res ImageDownload to MS-PowerPointCite This:ACS Nano 2024, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).

Dec 25, 2023 | biorxiv.org | Yifan Ma |Chengqiang Yi |Yao Zhou |ZhaoFei Wang

AbstractWith the rapid development in advanced imaging techniques, massive image data have been acquired for various biomedical applications, posing significant challenges to their efficient storage, transmission, and sharing. Classical model- or learning-based compression algorithms are optimized for specific dimensional data and neglect the semantic redundancy in multidimensional biomedical data, resulting limited compression performance.

Aug 23, 2023 | biorxiv.org | Yifan Ma |Chengqiang Yi |Yao Zhou |Shimeng Gao

AbstractWith the rapid development in advanced bioimaging techniques, numerous image data has been generated for various high-throughput applications, which pose big challenges to efficient storage, transmission and sharing of these data. Traditional compression techniques and current deep learning-based compression methods lack the elimination of semantic redundancy on multidimensional biomedical data containing high dynamic range and complex structural features.