Bio-Design and Manufacturing最新文献_第9页

Numerical simulation and printability analysis of fused deposition modeling with dual-temperature control 双温度控制下熔融沉积模型的数值模拟与打印性能分析

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-03-01 DOI: 10.1007/s42242-023-00239-1

Xiaodan Huo, Bin Zhang, Qianglong Han, Yong Huang, Jun Yin

引用次数: 1

Bio-manufacturing innovation lights up the future 生物制造创新点亮未来

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-03-01 DOI: 10.1007/s42242-023-00233-7

Liang Ma, Huayong Yang

引用次数: 1

Physics problems in bio or bioinspired additive manufacturing 生物或仿生增材制造中的物理问题

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-02-28 DOI: 10.1007/s42242-023-00234-6

Jun Yin, J. Qian, Yong Huang

引用次数: 0

Performance of novel 3D printing tools in removing coronary-artery calcification tissue 新型三维打印工具去除冠状动脉钙化组织的性能

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-02-22 DOI: 10.1007/s42242-022-00228-w

C. Gao, Zhaoju Zhu, Zirui Huang, Liujing Chen, Lihong Lu, Mingcheng Fang, Yao Liu, Bin He

引用次数: 0

Shape recovery properties and load-carrying capacity of a 4D printed thick-walled kirigami-inspired honeycomb structure 4D打印厚壁基里伽米蜂窝结构的形状恢复特性和承载能力

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-02-16 DOI: 10.1007/s42242-022-00230-2

C. Yue, Wei Zhao, Fengfeng Li, Liwu Liu, Yanju Liu, J. Leng

引用次数: 4

Alginate/gelatin/boron-doped hydroxyapatite-coated Ti implants: in vitro and in vivo evaluation of osseointegration 海藻酸盐/明胶/硼掺杂羟基磷灰石涂层钛植入物骨整合的体内外评价

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-01-05 DOI: 10.1007/s42242-022-00218-y

A. E. Pazarçeviren, Z. Evis, Tayfun Dikmen, K. Altunbaş, M. Yaprakçi, D. Keskin, A. Tezcaner

引用次数: 2

Microcapillary cell extrusion deposition with picolitre dispensing resolution. 微毛细管挤压沉积与皮升点胶分辨率。

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-01-01 DOI: 10.1007/s42242-022-00205-3

Saeed Fathi, Iek Man Lei, Yang Cao, Yan Yan Shery Huang

{"title":"Microcapillary cell extrusion deposition with picolitre dispensing resolution.","authors":"Saeed Fathi, Iek Man Lei, Yang Cao, Yan Yan Shery Huang","doi":"10.1007/s42242-022-00205-3","DOIUrl":"https://doi.org/10.1007/s42242-022-00205-3","url":null,"abstract":"Extrusion-based cell deposition has become a prominent technique for expanding bioprinting applications. However, the associated print resolution in the order of nanolitre or above has been a limiting factor. The demand for improving print resolution towards the scale of a single cell has driven the development of precision nozzle extrusion, although the benefits gained remain ambiguous. Here, aided by in situ imaging, we investigated the dynamics of cell organisation through an extrusion-based microcapillary tip with picolitre precision through in-air or immersion deposition. The microcapillary extrusion setup, termed 'Picodis', was demonstrated by generating droplets of colouring inks immersed in an immiscible medium. Next, using 3T3 fibroblast cells as an experimental model, we demonstrated the deposition of cell suspension, and pre-aggregated cell pellets. Then, the dynamic organisation of cells within the microcapillary tip was described, along with cell ejection and deposition upon exiting the tip opening. The vision-assisted approach revealed that when dispersed in a culture medium, the movements of cells were distinctive based on the flow profiles and were purely driven by laminar fluid flow within a narrow tip. The primary process limitations were cell sedimentation, aggregation and compaction, along with trapped air bubbles. The use of picolitre-level resolution microcapillary extrusion, although it provides some level of control for a small number of cells, does not necessarily offer a reliable method when a specified number of cells are required. Our study provides insights into the process limitations of high-resolution cell ink extrusion, which may be useful for optimising biofabrication processes of cell-laden constructs for biomedical research.Supplementary information: The online version contains supplementary material available at 10.1007/s42242-022-00205-3.","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829649/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9085603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Organoids revealed: morphological analysis of the profound next generation in-vitro model with artificial intelligence. 揭示的类器官:具有人工智能的深层下一代体外模型的形态学分析。

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2023-01-01 DOI: 10.1007/s42242-022-00226-y

Xuan Du, Zaozao Chen, Qiwei Li, Sheng Yang, Lincao Jiang, Yi Yang, Yanhui Li, Zhongze Gu

{"title":"Organoids revealed: morphological analysis of the profound next generation in-vitro model with artificial intelligence.","authors":"Xuan Du, Zaozao Chen, Qiwei Li, Sheng Yang, Lincao Jiang, Yi Yang, Yanhui Li, Zhongze Gu","doi":"10.1007/s42242-022-00226-y","DOIUrl":"https://doi.org/10.1007/s42242-022-00226-y","url":null,"abstract":"In modern terminology, \"organoids\" refer to cells that grow in a specific three-dimensional (3D) environment in vitro, sharing similar structures with their source organs or tissues. Observing the morphology or growth characteristics of organoids through a microscope is a commonly used method of organoid analysis. However, it is difficult, time-consuming, and inaccurate to screen and analyze organoids only manually, a problem which cannot be easily solved with traditional technology. Artificial intelligence (AI) technology has proven to be effective in many biological and medical research fields, especially in the analysis of single-cell or hematoxylin/eosin stained tissue slices. When used to analyze organoids, AI should also provide more efficient, quantitative, accurate, and fast solutions. In this review, we will first briefly outline the application areas of organoids and then discuss the shortcomings of traditional organoid measurement and analysis methods. Secondly, we will summarize the development from machine learning to deep learning and the advantages of the latter, and then describe how to utilize a convolutional neural network to solve the challenges in organoid observation and analysis. Finally, we will discuss the limitations of current AI used in organoid research, as well as opportunities and future research directions.Graphic abstract: ","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867835/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9374483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Multidrug dissolvable microneedle patch for the treatment of recurrent oral ulcer 多药溶性微针贴片治疗复发性口腔溃疡

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2022-12-28 DOI: 10.1007/s42242-022-00221-3

Yuqiong Wang, An’an Sheng, Xinran Jiang, Shanshan Yang, Long Lin, Mingzhu Yang, Fengshuo Zhu, Yongyan Hu, Jian Li, Lingqian Chang

引用次数: 5

Direct ink writing to fabricate porous acetabular cups from titanium alloy 用钛合金直接墨水书写制备多孔髋臼杯

IF 7.9 1区医学

Bio-Design and Manufacturing Pub Date : 2022-12-28 DOI: 10.1007/s42242-022-00222-2

Naima Valentin, W. Hua, A. Kasar, Lily Raymond, P. Menezes, Yifei Jin

引用次数: 2