Error Analysis of Digital Speckle Correlation Method Under Scanning Electron Microscope

Wang, H.; Xie, Heping; Ju, Yang; Duan, Qingyang

doi:10.1111/j.1747-1567.2006.00021.x

Cited by 14 publications

(8 citation statements)

References 12 publications

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“…According to the theory of mathematical statistics, because the number of calculated points of each image pair is less than 10,000, the limiting error of the measurement is less than four times the maximum SD, which is 0.136 pixels. As it has been reported that the maximum value of the SD is 0.3872 pixels (at 750×), 18 it can be seen that the baseline error of DIC under the digital microscope is much smaller than that under SEM.…”

Section: Precision Analysismentioning

confidence: 69%

Investigation of Deformation at the Grain Scale in Polycrystalline Materials by Coupling Digital Image Correlation and Digital Microscopy

Dong

Hou

Gong

2010

Experimental Techniques

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The purpose of this paper is to present an approach for the investigation of in‐plane strain distribution at the grain scale in polycrystalline materials. The technique is developed by coupling digital image correlation and digital microscopy. By performing and analyzing a series of validation tests, performances and limits of this approach are quantified. An example of its application is presented for a Ni based alloy specimen. It is realized that this approach can obtain accurate displacement data. This technique can thus be used to investigate micromechanical behaviors of polycrystalline materials.

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Section: Precision Analysismentioning

confidence: 69%

Investigation of Deformation at the Grain Scale in Polycrystalline Materials by Coupling Digital Image Correlation and Digital Microscopy

Dong

Hou

Gong

2010

Experimental Techniques

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“…Even though some work has been done to assess the accuracy of the measured displacement field with the DIC technique [18,[28][29][30], no quantitative analysis has been done in the case of very large local deformation to the authors' knowledge.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Strain Analysis of the Large Deformation at the Scale of Microstructure: Comparison between Digital Image Correlation and Microgrid Techniques

2012

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A comparative study has been carried out to assess the accuracy of the Digital Image Correlation (DIC) technique for the quantification of large strains in the microstructure of a Interstitial Free (IF) steel used in automotive applications. A microgrid technique has been used in this study in order to validate independently the strain measurements obtained with DIC. Microgrids with a pitch of 5 microns were printed on the etched microstructure of the IF steel to measure the local in-plane strain distribution during a tensile test carried out in a Scanning Electron Microscope (SEM). The progressive deformation of the microstructure with microgrids has been recorded throughout the test as a sequence of micrographs and subsequently processed using DIC to quantify the distribution of local strain values. Strain maps obtained with the two techniques have been compared in order to assess the accuracy of the DIC measurements obtained using the natural patterns of the revealed microstructure in the SEM micrographs. Although results obtained with the two techniques are qualitatively similar, therefore demonstrating the reliability of DIC applied to microstructures, even after large deformations in excess of 0.7. However, an average error of about 16% was found in the strain values calculated using DIC.

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“…DIC applies the images, which measure deformation from micrometer to nanometer range. [15][16][17][18][19][20][21][22][23][24][25][26][27][28] If the image has spatial and high temporal, the result could be improved by DIC. 29,30 In previous studies, cell imaging was classified through machine learning (normal cell image, drug-treated cell image, diseased cell image, and cell movement).…”

Section: Methodsmentioning

confidence: 99%

Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation

et al. 2020

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In the treatment of human cancer, the existing drug response identification and assessment methods have some issues, such as high cost, slow processing, and low accuracy. Responsive methods that easily and indirectly assess patient tissue response to drugs or small molecules offer promising options for improving drug safety, and they are able to identify the right treatment for specific patients. Digital image correlation is a good technique that detects a part of the image between two images. In this article, a new method of correlation called significant improvement of correlation (SIC) was proposed. Data were taken from the confocal microscopy of two‐photon excited fluorescence (TPEF) probe images taken every 5 min for short‐term monitoring (STM) and long‐term monitoring (LTM; 12, 24, and 48 hours). Cells were cultured, and a new compound TPEF was tested and injected the drug. The effect of drug on the TPEF compound was assessed through correlation. Experimental and simulation results showed that the proposed SIC was better than the conventional correlation method. Results also revealed that the first three images had 0.8% correlation in STM and LTM Image15 and Image10 had 0.49% correlation. The other images demonstrated minimum correlation. Thus, the effect of the newly made drug on the cell and image had a minimum correlation.

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Error Analysis of Digital Speckle Correlation Method Under Scanning Electron Microscope

Cited by 14 publications

References 12 publications

Investigation of Deformation at the Grain Scale in Polycrystalline Materials by Coupling Digital Image Correlation and Digital Microscopy

Investigation of Deformation at the Grain Scale in Polycrystalline Materials by Coupling Digital Image Correlation and Digital Microscopy

Quantitative Strain Analysis of the Large Deformation at the Scale of Microstructure: Comparison between Digital Image Correlation and Microgrid Techniques

Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation

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