High Density 3D Localization Microscopy by Multimodal Point Spread Function Engineering

被引：0
|
作者：
Ferdman, Boris [1 ,2 ,3 ]
Nehme, Elias [2 ,3 ,4 ]
Weiss, Lucien E. [2 ,3 ]
Orange, Reut [1 ,2 ,3 ]
Shechtman, Yoav [1 ,2 ,3 ]
机构：
[1] Technion, Russell Berrie Nanotechnol Inst, IL-32000 Haifa, Israel
[2] Technion, Dept Biomed Engn, IL-32000 Haifa, Israel
[3] Technion, Lorry I Lokey Interdisciplinary Ctr Life Sci & En, IL-32000 Haifa, Israel
[4] Technion, Dept Elect Engn, IL-32000 Haifa, Israel
来源：
2020 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO) | 2020年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Point-spread-function engineering enables the extraction of depth information from fluorescence microscopy images by sacrificing lateral resolution and labeling density. Here, we introduce a bifurcated multimodal approach that facilitates 3D super-resolution in densely labeled samples. (C) 2020 The Author(s)
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页数：2
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