Localization-based super-resolution imaging meets high-content screening

被引：0
|
作者：
Anne Beghin
Adel Kechkar
Corey Butler
Florian Levet
Marine Cabillic
Olivier Rossier
Gregory Giannone
Rémi Galland
Daniel Choquet
Jean-Baptiste Sibarita
机构：
[1] Université de Bordeaux,
[2] Institut interdisciplinaire de Neurosciences,undefined
[3] CNRS UMR 5297,undefined
[4] Institut interdisciplinaire de Neurosciences,undefined
[5] Ecole Nationale Supérieure de Biotechnologie,undefined
[6] Imagine Optic,undefined
[7] Bordeaux Imaging Center,undefined
[8] CNRS,undefined
[9] Université de Bordeaux,undefined
[10] UMS 3420,undefined
[11] INSERM US4,undefined
来源：
Nature Methods | 2017年 / 14卷
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中图分类号：
学科分类号：
摘要：
An automated system for data acquisition and analysis enables high-content screening localization microscopy and increases the throughput and information content of super-resolution microscopy methods such as dSTORM, DNA-PAINT and (spt)PALM.
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收藏
页码：1184 / 1190
页数：6
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