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期刊论文 6

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2022 1

2019 1

2016 1

2004 1

2003 1

2000 1

关键词

扫描探针显微镜 2

仪器生产 1

图像拼接 1

成像技术 1

电子显微镜 1

纳米测量 1

纳米科技 1

聚焦离子束-电子束装置 1

自动聚焦 1

自动逼近 1

超分辨光学显微镜 1

超分辨;成像;光学显微镜 1

超衍射权限分辨 1

近场光学 1

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大面积扫描探针显微镜研制

路小波,陆祖宏,周庆,王国著

《中国工程科学》 2004年 第6卷 第9期   页码 50-55

摘要:

介绍了一种大面积扫描探针显微镜。仪器采用大范围扫描与高精度微动扫描相分离、X-Y扫描与纵向检测相分离的方案,同时具备较大扫描范围和较高的分辨率,扫描重复性好,大面积扫描范围220mm×290mm×60mm,重复性2~3 μm,并可实现探针的自动逼近、光学显微镜自动聚焦和图像自动拼接。

关键词: 扫描探针显微镜     自动逼近     自动聚焦     图像拼接    

纳米测量仪器和纳米加工技术

姚骏恩

《中国工程科学》 2003年 第5卷 第1期   页码 33-37

摘要:

纳米科技是当今国际上的一个热点。文章对纳米科技作了简要介绍, 纳米测量和加工是纳米科技中的一个不可缺少的重要组成部分。叙述了发展纳米测量和纳米加工技术的两个主要途径:一是发展传统技术,主要是电子显微术以及最近发展起来的聚焦离子束(FIB)- 电子束数控加工中心;二是创造新的测量仪器,建立新原理和新方法,介绍了国内外电子显微镜和扫描探针显微镜这两类纳米测量分析仪器的发展、应用和生产现状。指出我国电子显微仪器和扫描探针显微镜的开发和生产面临困境,应尽快建立和加强自己的电子显微仪器和扫描探针显微镜等纳米测量和纳米加工设备制造产业,并列入国家科技发展规划。

关键词: 纳米科技     纳米测量     电子显微镜     扫描探针显微镜     聚焦离子束-电子束装置     仪器生产    

超分辨光学显微镜:原理、仪器与应用 Special Feature on Precision Measurement and Inst

Bao-kai WANG, Martina BARBIERO, Qi-ming ZHANG, Min GU

《信息与电子工程前沿(英文)》 2019年 第20卷 第5期   页码 608-630 doi: 10.1631/FITEE.1800449

摘要: 近二十年来,多种基于荧光与非荧光的光学显微镜发展迅速,突破了衍射极限。本文综述了超分辨显微镜的基本原理、技术成就和仪器应用,讨论了超分辨显微镜在成像以及其他方面的应用。

关键词: 超分辨;成像;光学显微镜    

Structure and formation of anoxic granular sludge —A string-bag hypothesis

Binbin WANG,Dangcong PENG,Xinyan ZHANG,Xiaochang WANG

《环境科学与工程前沿(英文)》 2016年 第10卷 第2期   页码 311-318 doi: 10.1007/s11783-014-0748-8

摘要: Anoxic granular sludge was developed in a laboratory-scale sequencing batch reactor which was fed with sodium acetate and sodium nitrate as electron donor and accepter. The sludge in the reactor was almost granulated after approximately 90 days of cultivation. In the present study, a detailed examination of surface morphology and internal structure of anoxic granular sludge was conducted using scanning electron microscope. It showed that the bacteria inside the granules had a uniform, coccus-like shape. By contrast, filamentous bacteria were predominant outside the granules. These bacteria were woven and had wrapped the coccus bacteria together to form granules. The small amounts of DO in the liquid bulk promoted the growth of filamentous bacteria on the surface of the granules. A string-bag hypothesis was proposed to elucidate the structure and formation of the anoxic granular sludge. It suggested that micro-aeration could be a method to promote granulation in practical anoxic treatment systems.

关键词: granulation     sequencing batch reactor     anoxic sludge     scanning electron microscope     filamentous bacteria    

Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques

Amit SHIULY; Debabrata DUTTA; Achintya MONDAL

《结构与土木工程前沿(英文)》 2022年 第16卷 第3期   页码 347-358 doi: 10.1007/s11709-022-0819-z

摘要: Compressive strength is the most important metric of concrete quality. Various nondestructive and semi-destructive tests can be used to evaluate the compressive strength of concrete. In the present study, a new image-based machine learning method is used to predict concrete compressive strength, including evaluation of six different models. These include support-vector machine model and various deep convolutional neural network models, namely AlexNet, GoogleNet, VGG19, ResNet, and Inception-ResNet-V2. In the present investigation, cement mortar samples were prepared using each of the cement:sand ratios of 1:3, 1:4, and 1:5, and using the water:cement ratios of 0.35 and 0.55. Cement concrete was prepared using the cement:sand:coarse aggregate ratios of 1:5:10, 1:3:6, 1:2:4, 1:1.5:3 and 1:1:2, using the water:cement ratio of 0.5 for all samples. The samples were cut, and several images of the cut surfaces were captured at various zoom levels using a digital microscope. All samples were then tested destructively for compressive strength. The images and corresponding compressive strength were then used to train machine learning models to allow them to predict compressive strength based upon the image data. The Inception-ResNet-V2 models exhibited the best predictions of compressive strength among the models tested. Overall, the present findings validated the use of machine learning models as an efficient means of estimating cement mortar and concrete compressive strengths based on digital microscopic images, as an alternative nondestructive/semi-destructive test method that could be applied at relatively less expense.

关键词: support vector machine     deep convolutional neural network     microscope     digital image     curing period    

超分辨近场光学成像技术及其产业开发

吴世法

《中国工程科学》 2000年 第2卷 第2期   页码 10-14

摘要:

超分辨近场光学成像技术是当前国内外一个重要的高新技术前沿课题,也将是我国21世纪初应该发展的一项高新技术产业。文中介绍了我国自1991年以来开拓研究的进展,探讨了国际学术界及产业开发中当前存在的主要问题,提出了各类超分辨扫描模式成像公式的乘法表达式,并作了分析比较。为解决消除假像和从有形貌等混合图像中分离纯光学图像两大难题,作者曾于1993年和1996年提出两项发明专利,为发展我国的该产业解决了两大技术关键。

关键词: 超衍射权限分辨     近场光学     成像技术     超分辨光学显微镜    

标题 作者 时间 类型 操作

大面积扫描探针显微镜研制

路小波,陆祖宏,周庆,王国著

期刊论文

纳米测量仪器和纳米加工技术

姚骏恩

期刊论文

超分辨光学显微镜:原理、仪器与应用

Bao-kai WANG, Martina BARBIERO, Qi-ming ZHANG, Min GU

期刊论文

Structure and formation of anoxic granular sludge —A string-bag hypothesis

Binbin WANG,Dangcong PENG,Xinyan ZHANG,Xiaochang WANG

期刊论文

Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques

Amit SHIULY; Debabrata DUTTA; Achintya MONDAL

期刊论文

超分辨近场光学成像技术及其产业开发

吴世法

期刊论文