WE-G-211-02: A Fast Aberration Correction Method for 3D Reconstruction with Confocal Microscopic Images

2011 ◽  
Vol 38 (6Part33) ◽  
pp. 3835-3835
Author(s):  
Y Zhang ◽  
X Hu ◽  
P Wang ◽  
Y Yang ◽  
R Niu ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Correction Method ◽  
Aberration Correction ◽  
Microscopic Images

scholarly journals Monitoring and Determining Mitochondrial Network Parameters in Live Lung Cancer Cells

2019 ◽  
Vol 8 (10) ◽  
pp. 1723
Author(s):  
Tamara Mirzapoiazova ◽  
Haiqing Li ◽  
Anusha Nathan ◽  
Saumya Srivstava ◽  
Mohd W. Nasser ◽  
...  
Keyword(s):  
Lung Cancer ◽  
3D Reconstruction ◽  
Cellular Response ◽  
Mitochondrial Dynamics ◽  
Confocal Imaging ◽  
Live Cells ◽  
Mitochondrial Morphology ◽  
Electron Microscopic ◽  
Microscopic Images ◽  
Network Parameters

Mitochondria are dynamic organelles that constantly fuse and divide, forming dynamic tubular networks. Abnormalities in mitochondrial dynamics and morphology are linked to diverse pathological states, including cancer. Thus, alterations in mitochondrial parameters could indicate early events of disease manifestation or progression. However, finding reliable and quantitative tools for monitoring mitochondria and determining the network parameters, particularly in live cells, has proven challenging. Here, we present a 2D confocal imaging-based approach that combines automatic mitochondrial morphology and dynamics analysis with fractal analysis in live small cell lung cancer (SCLC) cells. We chose SCLC cells as a test case since they typically have very little cytoplasm, but an abundance of smaller mitochondria compared to many of the commonly used cell types. The 2D confocal images provide a robust approach to quantitatively measure mitochondrial dynamics and morphology in live cells. Furthermore, we performed 3D reconstruction of electron microscopic images and show that the 3D reconstruction of the electron microscopic images complements this approach to yield better resolution. The data also suggest that the parameters of mitochondrial dynamics and fractal dimensions are sensitive indicators of cellular response to subtle perturbations, and hence, may serve as potential markers of drug response in lung cancer.

Aberration Correction of Microscopic Images Through the Use of Adaptive Optics

2017 ◽  
Vol 7 (1) ◽  
pp. 55-63
Author(s):  
Noura Negm ◽  
Mahmoud Fathy ◽  
Abo Bakr Youssef ◽  
Nahed Solouma
Keyword(s):  
Adaptive Optics ◽  
Aberration Correction ◽  
Microscopic Images

Aberration correction method for Fourier ptychographic microscopy based on neural network

2020 ◽  
Author(s):  
Jinlei Zhang ◽  
Xiao Tao ◽  
Chenning Tao ◽  
Peng Sun ◽  
Zhanghao Ding ◽  
...  
Keyword(s):  
Neural Network ◽  
Correction Method ◽  
Aberration Correction

An Optical Coherence Tomographic Aberration Correction Method Based on the Particle Swarm Optimization Algorithm

2020 ◽  
Vol 40 (10) ◽  
pp. 1011002
Author(s):  
毕津慈 Bi Jinci ◽  
高志山 Gao Zhishan ◽  
朱丹 Zhu Dan ◽  
马剑秋 Ma Jianqiu ◽  
袁群 Yuan Qun ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Correction Method ◽  
Aberration Correction ◽  
Optical Coherence ◽  
Swarm Optimization

Recursive wavefront aberration correction method for LCoS spatial light modulators

2011 ◽  
Vol 49 (6) ◽  
pp. 743-748 ◽  
Author(s):  
J. García-Márquez ◽  
J.E.A. Landgrave ◽  
N. Alcalá-Ochoa ◽  
C. Pérez-Santos
Keyword(s):  
Correction Method ◽  
Spatial Light Modulators ◽  
Wavefront Aberration ◽  
Aberration Correction ◽  
Light Modulators

scholarly journals Three-Dimensional Reconstruction-Based Vibration Measurement of Bridge Model Using UAVs

2021 ◽  
Vol 11 (11) ◽  
pp. 5111
Author(s):  
Zhihua Wu ◽  
Gongfa Chen ◽  
Qiong Ding ◽  
Bing Yuan ◽  
Xiaomei Yang
Keyword(s):  
3D Reconstruction ◽  
Three Dimensional ◽  
Correction Method ◽  
Reference Points ◽  
Image Correlation ◽  
Vibration Measurement ◽  
Reconstruction Method ◽  
The Real ◽  
Bridge Model ◽  
Dimensional Reconstruction

This paper presents a measurement method of bridge vibration based on three-dimensional (3D) reconstruction. A video of bridge model vibration is recorded by an unmanned aerial vehicle (UAV), and the displacement of target points on the bridge model is tracked by the digital image correlation (DIC) method. Due to the UAV motion, the DIC-tracked displacement of the bridge model includes the absolute displacement caused by the excitation and the false displacement induced by the UAV motion. Therefore, the UAV motion must be corrected to measure the real displacement. Using four corner points on a fixed object plane as the reference points, the projection matrix for each frame of images can be estimated by the UAV camera calibration, and then the 3D world coordinates of the target points on the bridge model can be recovered. After that, the real displacement of the target points can be obtained. To verify the correctness of the results, the operational modal analysis (OMA) method is used to extract the natural frequencies of the bridge model. The results show that the first natural frequency obtained from the proposed method is consistent with the one obtained from the homography-based method. By further comparing with the homography-based correction method, it is found that the 3D reconstruction method can effectively overcome the limitation of the homography-based method that the fixed reference points and the target points must be coplanar.

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