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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 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2023-01-01 DOI: 10.1007/s42242-022-00205-3
Saeed Fathi, Iek Man Lei, Yang Cao, Yan Yan Shery Huang

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.

基于挤压的细胞沉积已经成为扩展生物打印应用的重要技术。然而,相关的打印分辨率在纳升或更高的顺序一直是一个限制因素。对提高打印分辨率的需求向单个细胞的规模推动了精密喷嘴挤出的发展,尽管所获得的好处仍然不明确。在原位成像的帮助下,我们通过一种基于挤压的微细管尖端,通过空气或浸泡沉积,以皮升的精度研究了细胞组织的动力学。被称为“Picodis”的微毛细管挤出装置,通过在不混溶介质中产生染色油墨液滴来演示。接下来,使用3T3成纤维细胞作为实验模型,我们展示了细胞悬浮液的沉积和预聚集的细胞颗粒。然后,描述了微毛细血管尖端内细胞的动态组织,以及细胞在离开尖端开口时的喷射和沉积。视觉辅助方法显示,当分散在培养基中时,细胞的运动根据流动曲线而不同,并且完全由窄尖端内的层流流体驱动。主要的工艺限制是细胞沉降、聚集和压实,以及被困的气泡。使用皮升级分辨率微毛细管挤出,虽然它提供了对少量细胞的一定程度的控制,但当需要特定数量的细胞时,不一定提供可靠的方法。我们的研究提供了对高分辨率细胞墨水挤压工艺限制的见解,这可能有助于优化生物医学研究中细胞负载结构的生物制造工艺。补充信息:在线版本包含补充资料,提供地址为10.1007/s42242-022-00205-3。
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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 Q1 ENGINEERING, BIOMEDICAL 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

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:

在现代术语中,“类器官”指的是在体外特定的三维(3D)环境中生长的细胞,它们与其来源器官或组织具有相似的结构。通过显微镜观察类器官的形态或生长特征是一种常用的类器官分析方法。然而,仅靠人工筛选和分析类器官是困难的,耗时的,不准确的,这是传统技术无法轻易解决的问题。人工智能(AI)技术已被证明在许多生物和医学研究领域是有效的,特别是在分析单细胞或苏木精/伊红染色的组织切片方面。当用于分析类器官时,人工智能也应该提供更高效、定量、准确和快速的解决方案。在本文中,我们将首先简要概述类器官的应用领域,然后讨论传统的类器官测量和分析方法的不足。其次,我们将总结从机器学习到深度学习的发展以及后者的优势,然后描述如何利用卷积神经网络来解决类器官观察和分析中的挑战。最后,我们将讨论目前人工智能在类器官研究中的局限性,以及未来的研究方向和机会。图形抽象:
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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 Q1 ENGINEERING, BIOMEDICAL 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
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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 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-12-28 DOI: 10.1007/s42242-022-00222-2
Naima Valentin, W. Hua, A. Kasar, Lily Raymond, P. Menezes, Yifei Jin
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引用次数: 2
Bioinspired flexible piezoresistive sensor for high-sensitivity detection of broad pressure range 仿生柔性压阻传感器用于宽压力范围的高灵敏度检测
IF 7.9 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-12-28 DOI: 10.1007/s42242-022-00220-4
Meng Wang, Hao Zhang, Hang Wu, Suqian Ma, L. Ren, Yunhong Liang, Chongxing Liu, Zhiwu Han
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引用次数: 6
Functionalized alginate-based bioinks for microscale electrohydrodynamic bioprinting of living tissue constructs with improved cellular spreading and alignment 功能化海藻酸盐基生物墨水用于微尺度电流体动力生物打印的活组织结构,改善细胞扩散和排列
IF 7.9 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-12-24 DOI: 10.1007/s42242-022-00225-z
Zhennan Qiu, Huilin Zhu, Yutao Wang, Ayiguli Kasimu, Dichen Li, Jiankang He
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引用次数: 4
Designs and methodologies to recreate in vitro human gut microbiota models 体外重建人类肠道微生物群模型的设计和方法
IF 7.9 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-12-17 DOI: 10.1007/s42242-022-00210-6
Francesco Biagini, C. Daddi, Marco Calvigioni, C. De Maria, Y. S. Zhang, E. Ghelardi, G. Vozzi
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引用次数: 3
Development of a portable reflectance confocal microscope and its application in the noninvasive in vivo evaluation of mesenchymal stem cell-promoted cutaneous wound healing 便携式反射共聚焦显微镜的研制及其在无创体内评价间充质干细胞促进皮肤创面愈合中的应用
IF 7.9 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-12-12 DOI: 10.1007/s42242-022-00223-1
Lixing Zhang, Xin Miao, Meijia Wang, Aihua Shi, Jingwen Wang, Zhonglin Ma, Yunhai Zhang, Jingzhong Zhang, Shuang Yu
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引用次数: 0
Three-dimensional kagome structures in a PCL/HA-based hydrogel scaffold to lead slow BMP-2 release for effective bone regeneration 以PCL/ ha为基础的水凝胶支架中的三维鹿茸结构,可导致BMP-2缓慢释放,从而实现有效的骨再生
IF 7.9 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-12-03 DOI: 10.1007/s42242-022-00219-x
Se-Hwan Lee, Kang-Gon Lee, Jaeyeon Lee, Y. Cho, Min-Soo Ghim, Soojin Kim, S. Heo, Yongdoo Park, Young-Sam Cho, B. Lee
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引用次数: 2
Junction matters in hydraulic circuit bio-design of microfluidics 微流体液压回路生物设计中的连接问题
IF 7.9 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-11-11 DOI: 10.1007/s42242-022-00215-1
Yao Lin, Dongliang He, Zerui Wu, Y. Yao, Zhanhao Zhang, Yuheng Qiu, Shangyu Wei, G. Shang, Xingyue Lei, Ping Wu, Weiping Ding, Liqun He
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引用次数: 0
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