An application of the edge reversal method for accurate reconstruction of the three-dimensional profile of a single-point diamond tool obtained by an atomic force microscope

Zhang, Kai; Shimizu, Yuki; Matsukuma, Hiraku; Cai, Yindi; Gao, Wei

doi:10.1007/s00170-021-07879-6

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…Zhang et al improved computed tomography (CT) equipment and improved image processing techniques, showing that CT can not only accurately reflect the morphological characteristics of primary cervical cancer and distant lymph node metastasis, but also reflect the pathophysiological characteristics of cervical cancer. [ 5 ]. Xiao et al believed that the spectral CT imaging technology uses kV fast conversion technology to obtain monochromatic images of various energy units and weakens the iodine contrast through material separation technology, so that the iodine concentration can be calculated [ 6 ].…”

Section: Literature Reviewmentioning

confidence: 99%

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

Sun¹,

Wang²,

Chen³

2022

Scanning

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In order to study the application value of CT three-dimensional microscope reconstruction technology in the diagnosis of cervical cancer. In this paper, 232 patients with newly diagnosed stage IA-II A2 and some stage III C: cervical cancer (stage IB1-IIA2 of stage f go in 2009) were selected, and 204 patients with stage IB1-IIA2 of stage 2009 fig 0 were selected. The original data of DICOM were obtained by CT scanning and imported into mics10.01 software to complete lymph node reconstruction. The short diameter value > 10 mm is used as the standard to judge whether the lymph node is metastatic. Referring to the 2018fig 0 staging standard, if it indicates that the lymph node is positive, it is IIICr stage. The gold standard is the diagnosis of III CP according to the surgical and pathological results, and then the diagnostic efficiency of III C stage is evaluated. The experimental results showed that 65 cases were diagnosed as IIIC stage, and 70 cases were diagnosed as IIICp stage. There was consistency between IIICr and IIICp stage, and the kappa value was 0.340. Using CT multiphase enhanced scanning and three-dimensional reconstruction technology to diagnose cervical cancer has high detection rate and high accuracy of staging diagnosis, which is worthy of clinical application.

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Section: Literature Reviewmentioning

confidence: 99%

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

Sun¹,

Wang²,

Chen³

2022

Scanning

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“…An edge reversal method has been proposed to improve the accuracy of AFM tip radius evaluation to overcome the limitation of measuring tip radii larger than 30 nm [28]. The edge reversal method has effectively compensated for the influence of the AFM tip radius on the 3D tool edge profile of a single-point diamond tool [29]. Compared to other tip radius measurement methods, the advantage of this method is that the tip radius of the AFM probe can be accurately evaluated without considering the influence of the convolution.…”

Section: Introductionmentioning

confidence: 99%

Compensation Method for Correcting the Topography Convolution of the 3D AFM Profile Image of a Diffraction Grating

Zhang,

Bai,

Zhang

2024

Machines

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Any 3D AFM image is a convolution of the geometry of the AFM tip and the profile of the scanned sample, especially when the dimensions of the scanned sample are comparable to those of the AFM tip shape. The precise profile of the scanned sample can be extracted from the 3D AFM image if the geometry of the AFM tip is known. Therefore, in order to separate the geometry of the AFM probe tip from the 3D AFM image of a diffraction grating with a rectangular profile and to correct for the topographic convolutions induced by the AFM probe tip, a method is used to quantitatively evaluate the geometry of the AFM probe tip, including the tip radius and the included angle. A model for reconstructing the measured AFM image is proposed to correct topography convolutions caused by the AFM tip shape when scanning a diffraction grating with rectangular profiles. A series of experiments were performed to verify the effectiveness of the proposed AFM tip geometry evaluation method, and comparison experiments were conducted to demonstrate the feasibility and reliability of the proposed reconstruction model.

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“…The direct methods aim to realize TCM by directly capturing tool-wear images [ 30 ] or radioactive results [ 15 ]. One of the universal testing methods in the production of diamond tools is to directly observe the cutting edge’s morphology and contour under an atomic force microscope (AFM) [ 11 ] or a scanning electron microscope (SEM) [ 31 , 32 , 33 ], both of which are time-consuming. When the cutting edge has no obvious defects (generally referring to the microchipping of the cutting edge), the cutting tool can be determined as fit for purpose.…”

Section: Introductionmentioning

confidence: 99%

On-Machine Detection of Sub-Microscale Defects in Diamond Tool Grinding during the Manufacturing Process Based on DToolnet

Xue

Zhao

et al. 2022

Sensors

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Nowadays, tool condition monitoring (TCM), which can prevent the waste of resources and improve efficiency in the process of machining parts, has developed many mature methods. However, TCM during the production of cutting tools is less studied and has different properties. The scale of the defects in the tool production process is tiny, generally between 10 μm and 100 μm for diamond tools. There are also very few samples with defects produced by the diamond tool grinding process, with only about 600 pictures. Among the many TCM methods, the direct inspection method using machine vision has the advantage of obtaining diamond tool information on-machine at a low cost and with high efficiency, and the method is accurate enough to meet the requirements of this task. Considering the specific, above problems, to analyze the images acquired by the vision system, a neural network model that is suitable for defect detection in diamond tool grinding is proposed, which is named DToolnet. DToolnet is developed by extracting and learning from the small-sample diamond tool features to intuitively and quickly detect defects in their production. The improvement of the feature extraction network, the optimization of the target recognition network, and the adjustment of the parameters during the network training process are performed in DToolnet. The imaging system and related mechanical structures for TCM are also constructed. A series of validation experiments is carried out and the experiment results show that DToolnet can achieve an 89.3 average precision (AP) for the detection of diamond tool defects, which significantly outperforms other classical network models. Lastly, the DToolnet parameters are optimized, improving the accuracy by 4.7%. This research work offers a very feasible and valuable way to achieve TCM in the manufacturing process.

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An application of the edge reversal method for accurate reconstruction of the three-dimensional profile of a single-point diamond tool obtained by an atomic force microscope

Cited by 6 publications

References 33 publications

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

Compensation Method for Correcting the Topography Convolution of the 3D AFM Profile Image of a Diffraction Grating

On-Machine Detection of Sub-Microscale Defects in Diamond Tool Grinding during the Manufacturing Process Based on DToolnet

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