20.1.3 Super Resolution in Microscope Image Analysis

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Microscope. Super Resolution.

de Juana, D.M.[Daniel M.], Oti, J.E.[Jose E.], Canales, V.F.[Vidal F.], Cagigal, M.P.[Manuel P.],
Transverse or axial superresolution in a 4Pi-confocal microscope by phase-only filters,
JOSA-A(20), No. 11, November 2003, pp. 2172-2178.
WWW Link. 0311
BibRef

Chu, K.Q.[Kai-Qin], Smith, Z.J.[Zachary J.], Wachsmann-Hogiu, S.[Sebastian], Lane, S.[Stephen],
Super-resolved spatial light interference microscopy,
JOSA-A(29), No. 3, March 2012, pp. 344-351.
WWW Link. 1203
BibRef

Passon, O.[Oliver], Grebe-Ellis, J.[Johannes],
Note on the classification of super-resolution in far-field microscopy and information theory,
JOSA-A(33), No. 7, July 2016, pp. B31-B35.
DOI Link 1608
Fourier optics and signal processing BibRef

Min, J., Jin, K.H., Unser, M., Ye, J.C.,
Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy,
IP(27), No. 10, October 2018, pp. 4771-4786.
IEEE DOI 1808
approximation theory, biology computing, cellular biophysics, fluorescence, Hankel matrices, image reconstruction, source localization BibRef

Solomon, O., Eldar, Y., Mutzafi, M., Segev, M.,
SPARCOM: Sparsity Based Super-resolution Correlation Microscopy,
SIIMS(12), No. 1, 2019, pp. 392-419.
DOI Link 1904
BibRef

Chen, L., Wang, M., Zhang, X., Zhang, M., Hu, Y., Shi, Z., Xi, P., Gao, J.,
Group-Sparsity-Based Super-Resolution Dipole Orientation Mapping,
MedImg(38), No. 11, November 2019, pp. 2687-2694.
IEEE DOI 1911
Image reconstruction, Microscopy, Optical imaging, Estimation, Modulation, Dipole orientation, fluorescence polarization, super-resolution BibRef

Ma, J.B.[Jia-Bo], Yu, J.Y.[Jing-Ya], Liu, S.B.[Si-Bo], Chen, L.[Li], Li, X.[Xu], Feng, J.[Jie], Chen, Z.X.[Zhi-Xing], Zeng, S.Q.[Shao-Qun], Liu, X.L.[Xiu-Li], Cheng, S.H.[Sheng-Hua],
PathSRGAN: Multi-Supervised Super-Resolution for Cytopathological Images Using Generative Adversarial Network,
MedImg(39), No. 9, September 2020, pp. 2920-2930.
IEEE DOI 2009
Generators, Image reconstruction, Cervical cancer, Microscopy, Cervical cancer, cytopathological images, super resolution BibRef

Szczotka, A.B.[Agnieszka Barbara], Shakir, D.I.[Dzhoshkun Ismail], Clarkson, M.J.[Matthew J.], Pereira, S.P.[Stephen P.], Vercauteren, T.[Tom],
Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy,
MedImg(40), No. 7, July 2021, pp. 1863-1874.
IEEE DOI 2107
Kernel, Training, Image quality, Image reconstruction, Endomicroscopy, Superresolution, Pipelines, Blind super-resolution, zero-shot BibRef


Chen, K.C.J.[Kuan-Chieh Jackie], Yang, G.[Ge], Kovacevic, J.[Jelena],
Spatial density estimation based segmentation of super-resolution localization microscopy images,
ICIP14(867-871)
IEEE DOI 1502
Estimation BibRef

Ishaq, O.[Omer], Elf, J.[Johan], Wahlby, C.[Carolina],
An Evaluation of the Faster STORM Method for Super-resolution Microscopy,
ICPR14(4435-4440)
IEEE DOI 1412
Microscopy BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Ptychographic, Fourier Ptychographic, Ptycho-Tomography .


Last update:Sep 19, 2021 at 21:11:01