Automated video-mosaicking approach for confocal microscopic imaging in vivo: an approach to address challenges in imaging living tissue and extend field of view-Reference-Cited by-同舟云学术

Automated video-mosaicking approach for confocal microscopic imaging in vivo: an approach to address challenges in imaging living tissue and extend field of view

Published:2017-09-07 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Kose Kivanc^ORCID,Gou Mengran,Yélamos Oriol^ORCID,Cordova Miguel,Rossi Anthony M.,Nehal Kishwer S.,Flores Eileen S.,Camps Octavia,Dy Jennifer G.,Brooks Dana H.,Rajadhyaksha Milind

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-017-11072-9.pdf

Reference44 articles.

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2. Loewke, K. et al. In vivo micro-image mosaicing. Biomedical Engineering, IEEE Transactions on 58, 159–171 (2011).

3. Vercauteren, T., Perchant, A., Malandain, G., Pennec, X. & Ayache, N. Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy. Medical Image Analysis 10, 673–692 (2015).

4. Piccinini, F., Bevilacqua, A. & Lucarelli, E. Automated image mosaics by non-automated light microscopes: the micromos software tool. Journal of Microscopy 252, 226–250 (2013).

5. Sun, C., Beare, R., Hilsenstein, V. & Jackway, P. Mosaicing of microscope images with global geometric and radiometric corrections. Journal of Microscopy 224, 158–165 (2006).

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