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":"<p><p>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.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s42242-022-00205-3.</p>","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":"6 1","pages":"1-11"},"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}
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":"<p><p>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.</p><p><strong>Graphic abstract: </strong></p>","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":"6 3","pages":"319-339"},"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}
Naima Valentin, W. Hua, A. Kasar, Lily Raymond, P. Menezes, Yifei Jin
{"title":"Direct ink writing to fabricate porous acetabular cups from titanium alloy","authors":"Naima Valentin, W. Hua, A. Kasar, Lily Raymond, P. Menezes, Yifei Jin","doi":"10.1007/s42242-022-00222-2","DOIUrl":"https://doi.org/10.1007/s42242-022-00222-2","url":null,"abstract":"","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":"6 1","pages":"121-135"},"PeriodicalIF":7.9,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47463328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francesco Biagini, C. Daddi, Marco Calvigioni, C. De Maria, Y. S. Zhang, E. Ghelardi, G. Vozzi
{"title":"Designs and methodologies to recreate in vitro human gut microbiota models","authors":"Francesco Biagini, C. Daddi, Marco Calvigioni, C. De Maria, Y. S. Zhang, E. Ghelardi, G. Vozzi","doi":"10.1007/s42242-022-00210-6","DOIUrl":"https://doi.org/10.1007/s42242-022-00210-6","url":null,"abstract":"","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":"6 1","pages":"298-318"},"PeriodicalIF":7.9,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42814712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a portable reflectance confocal microscope and its application in the noninvasive in vivo evaluation of mesenchymal stem cell-promoted cutaneous wound healing","authors":"Lixing Zhang, Xin Miao, Meijia Wang, Aihua Shi, Jingwen Wang, Zhonglin Ma, Yunhai Zhang, Jingzhong Zhang, Shuang Yu","doi":"10.1007/s42242-022-00223-1","DOIUrl":"https://doi.org/10.1007/s42242-022-00223-1","url":null,"abstract":"","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":"6 1","pages":"268-283"},"PeriodicalIF":7.9,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42967205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Se-Hwan Lee, Kang-Gon Lee, Jaeyeon Lee, Y. Cho, Min-Soo Ghim, Soojin Kim, S. Heo, Yongdoo Park, Young-Sam Cho, B. Lee
{"title":"Three-dimensional kagome structures in a PCL/HA-based hydrogel scaffold to lead slow BMP-2 release for effective bone regeneration","authors":"Se-Hwan Lee, Kang-Gon Lee, Jaeyeon Lee, Y. Cho, Min-Soo Ghim, Soojin Kim, S. Heo, Yongdoo Park, Young-Sam Cho, B. Lee","doi":"10.1007/s42242-022-00219-x","DOIUrl":"https://doi.org/10.1007/s42242-022-00219-x","url":null,"abstract":"","PeriodicalId":48627,"journal":{"name":"Bio-Design and Manufacturing","volume":"6 1","pages":"12-25"},"PeriodicalIF":7.9,"publicationDate":"2022-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44655707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}