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)

引用

页数：2