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Capacitive Control of Spontaneously Induced Electrical Charge of Droplet by Electric Field-Assisted Pipetting
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作者 Horim Lee Dongwhi Choi +1 位作者 Dong Sung Kim Geunbae Lim 《Nano-Micro Letters》 SCIE EI CAS 2015年第4期341-346,共6页
The spontaneously generated electrical charge of a droplet dispensed from conventional pipetting is undesirable and unpredictable for most experiments that use pipetting.Hence,a method for controlling and removing the... The spontaneously generated electrical charge of a droplet dispensed from conventional pipetting is undesirable and unpredictable for most experiments that use pipetting.Hence,a method for controlling and removing the electrical charge needs to be developed.In this study,by using the electrode-deposited pipet tip(E-pipet tip),the charge-controlling system is newly developed and the electrical charge of a droplet is precisely controlled.The effect of electrolyte concentration and volume of the transferred solution to the electrical charge of a dispensed droplet is theoretically and experimentally investigated by using the equivalent capacitor model.Furthermore,a proof-of-concept example of the self-alignment and self-assembly of sequentially dispensed multiple droplets is demonstrated as one of the potential applications.Given that the electrical charge of the various aqueous droplets can be precisely and simply controlled,the fabricated E-pipet tip can be broadly utilized not only as a general charge-controlling platform of aqueous droplets but also as a powerful tool to explore fundamental scientific research regarding electrical charge of a droplet,such as the surface oscillation and evaporation of charged droplets. 展开更多
关键词 pipet tip Capacitive control Electrical charge SELF-ASSEMBLY
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基于TIP-YOLO的移液器吸头微小缺陷检测
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作者 张陈涛 唐卓君 +4 位作者 王旭 刘洋 吕志勇 郑高峰 徐周毅 《光学精密工程》 2026年第5期847-860,共14页
精密自动移液技术已成为现代实验室自动化系统的核心组成部分。移液器吸头存在质量缺陷会直接影响液体吸取和排放的体积精度,进而导致移液容量偏差,准确性降低等问题。此外,移液器吸头为半透明聚丙烯材质,其缺陷不仅尺寸微小、分布随机... 精密自动移液技术已成为现代实验室自动化系统的核心组成部分。移液器吸头存在质量缺陷会直接影响液体吸取和排放的体积精度,进而导致移液容量偏差,准确性降低等问题。此外,移液器吸头为半透明聚丙烯材质,其缺陷不仅尺寸微小、分布随机,还呈现浅层化特征,与基体之间的光学对比度低,导致缺陷特征微弱、边界模糊,依靠传统的人工目视检测方法难以精准识别。针对上述问题,提出一种移液器吸头微小缺陷检测模型TIP-YOLO,并将其应用于自动移液装置。首先,通过GrabCut对吸头缺陷进行精准分割,再借助Deep Image Blending对分割后得到的缺陷特征与背景进行融合,构建包含多类缺陷的高质量数据集。然后,在YOLOv8n的颈部网络提出动态上采样模块,通过自适应学习像素偏移量,强化对微小缺陷边缘细节的重建能力。最后,设计自适应空间特征融合的四层检测头,新增针对微小缺陷的检测分支,提升多尺度特征的融合效率与空间特征捕捉灵敏度。实验结果表明,TIP-YOLO模型的精确率(P)、召回率(R)、平均精度均值(mAP@0.5)三项指标分别为0.969,0.971,0.986,相比基准模型分别提升了3.0%,5.2%,2.8%。本研究为移液器吸头的缺陷检测提供了一种有效的解决方案,对推动实验智能化发展具有重要意义。 展开更多
关键词 YOLO模型 缺陷检测 移液器吸头 小目标检测 自动移液
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