مورد إلكتروني
Correlation analysis framework for localization-based superresolution microscopy.
| العنوان: | Correlation analysis framework for localization-based superresolution microscopy. |
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| المؤلفون: | Schnitzbauer, Joerg |
| المصدر: | Proceedings of the National Academy of Sciences of the United States of America; vol 115, iss 13, 3219-3224; 0027-8424 |
| بيانات النشر: | eScholarship, University of California 2018-03-01 |
| تفاصيل مُضافة: | Schnitzbauer, Joerg Wang, Yina Zhao, Shijie Bakalar, Matthew Nuwal, Tulip Chen, Baohui Huang, Bo |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Superresolution images reconstructed from single-molecule localizations can reveal cellular structures close to the macromolecular scale and are now being used routinely in many biomedical research applications. However, because of their coordinate-based representation, a widely applicable and unified analysis platform that can extract a quantitative description and biophysical parameters from these images is yet to be established. Here, we propose a conceptual framework for correlation analysis of coordinate-based superresolution images using distance histograms. We demonstrate the application of this concept in multiple scenarios, including image alignment, tracking of diffusing molecules, as well as for quantification of colocalization, showing its superior performance over existing approaches. |
| مصطلحات الفهرس: | Cell Line, Golgi Apparatus, Animals, Drosophila, Drosophila Proteins, Membrane Proteins, DNA, Fluorescent Dyes, Microscopy, Fluorescence, Image Processing, Computer-Assisted, Molecular Imaging, Spatio-Temporal Analysis, Golgi Matrix Proteins, diffusion, image analysis, single-molecule imaging, superresolution microscopy, Bioengineering, Generic health relevance, article |
| URL: | |
| الإتاحة: | Open access content. Open access content public |
| ملاحظة: | application/pdf Proceedings of the National Academy of Sciences of the United States of America vol 115, iss 13, 3219-3224 0027-8424 |
| أرقام أخرى: | CDLER oai:escholarship.org:ark:/13030/qt0wg0723w qt0wg0723w https://escholarship.org/uc/item/0wg0723wTest https://escholarship.orgTest/ 1391611340 |
| المصدر المساهم: | UC MASS DIGITIZATION From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1391611340 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |