Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks [0.03%]
基于卷积神经网络和循环神经网络图像处理的等离激元结构光学属性研究
Iman Sajedian,Jeonghyun Kim,Junsuk Rho
Iman Sajedian
Image processing can be used to extract meaningful optical results from images. Here, from images of plasmonic structures, we combined convolutional neural networks with recurrent neural networks to extract the absorption spectra of structu...
Mengxi Wu,Adem Ozcelik,Joseph Rufo et al.
Mengxi Wu et al.
Acoustofluidics, the integration of acoustics and microfluidics, is a rapidly growing research field that is addressing challenges in biology, medicine, chemistry, engineering, and physics. In particular, acoustofluidic separation of biolog...
Reaction injection molding of hydrophilic-in-hydrophobic femtolitre-well arrays [0.03%]
亲水性-疏水性飞升量阵列的反应注射成型
Reza Zandi Shafagh,Deborah Decrop,Karen Ven et al.
Reza Zandi Shafagh et al.
Patterning of micro- and nanoscale topologies and surface properties of polymer devices is of particular importance for a broad range of life science applications, including cell-adhesion assays and highly sensitive bioassays. The manufactu...
Inductively coupled, mm-sized, single channel optical neuro-stimulator with intensity enhancer [0.03%]
具有增强功能的单通道光学神经刺激器诱导耦合和毫米大小
Wasif Khan,Yaoyao Jia,Fatma Madi et al.
Wasif Khan et al.
We introduce a single channel neuro-stimulator consisting of a reflector-coupled microscale light emitting diode (µLED) with an integrated mm-sized wireless receiver (Rx) coil for free-floating, battery-free, untethered optogenetics neurom...
Separation of spermatozoa from erythrocytes using their tumbling mechanism in a pinch flow fractionation device [0.03%]
利用刺流分选装置中精子和红细胞翻滚机制的区别进行分离
Johanna T W Berendsen,Jan C T Eijkel,Alex M Wetzels et al.
Johanna T W Berendsen et al.
Men suffering from azoospermia can father a child, by extracting spermatozoa from a testicular biopsy sample. The main complication in this procedure is the presence of an abundance of erythrocytes. Currently, the isolation of the few sperm...
NiO nanoparticle-decorated SnO2 nanosheets for ethanol sensing with enhanced moisture resistance [0.03%]
具有增强的湿度抵抗力的乙醇传感器的镍氧化物纳米颗粒装饰锡氧化物纳米片的研究
Gaoqiang Niu,Changhui Zhao,Huimin Gong et al.
Gaoqiang Niu et al.
In a high relative humidity (RH) environment, it is challenging for ethanol sensors to maintain a high response and excellent selectivity. Herein, tetragonal rutile SnO2 nanosheets decorated with NiO nanoparticles were synthesized by a two-...
Mechanically strengthened graphene-Cu composite with reduced thermal expansion towards interconnect applications [0.03%]
具有减小的热膨胀系数的机械强化型石墨烯-铜复合材料在互连中的应用研究
Zhonglie An,Jinhua Li,Akio Kikuchi et al.
Zhonglie An et al.
High-density integration technologies with copper (Cu) through-silicon via (TSV) have emerged as viable alternatives for achieving the requisite integration densities for the portable electronics and micro-electro-mechanical systems (MEMSs)...
Effective bias warm-up time reduction for MEMS gyroscopes based on active suppression of the coupling stiffness [0.03%]
基于主动抑制耦合刚度的微机电陀螺仪有效偏置温启时间缩减方法
Jian Cui,Qiancheng Zhao,Guizhen Yan
Jian Cui
Bias warm-up time is the time required for MEMS gyroscopes to reach a relatively stable state with specified performance after the power supply is turned on, is a critical factor for short time-of-flight navigation applications. This paper ...
Multilayered skyscraper microchips fabricated by hybrid "all-in-one" femtosecond laser processing [0.03%]
用于混合“一站式”芯片制造的飞秒激光加工构建多层摩天大楼式微芯片
Chaowei Wang,Liang Yang,Chenchu Zhang et al.
Chaowei Wang et al.
Multilayered microfluidic channels integrated with functional microcomponents are the general trend of future biochips, which is similar to the history of Si-integrated circuits from the planer to the three-dimensional (3D) configuration, s...
Correction to: Efficient DNA-assisted synthesis of trans-membrane gold nanowires [0.03%]
Correction to:高效DNA辅助合成跨膜金纳米线
Maoxiang Guo,Iván Hernández-Neuta,Narayanan Madaboosi et al.
Maoxiang Guo et al.
[This corrects the article DOI: 10.1038/micronano.2017.84.].
Published Erratum
Microsystems & nanoengineering. 2018 Jun 4:4:9. DOI:10.1038/s41378-018-0012-7 2018