High density 3d localization microscopy by multimodal point spread function engineering

Boris Ferdman, Elias Nehme, Lucien E. Weiss, Reut Orange, Yoav Shechtman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationApplications and Technology, CLEO_AT 2020
DOIs
StatePublished - 2020
EventCLEO: Applications and Technology, CLEO_AT 2020 - Washington, United States
Duration: 10 May 202015 May 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F181-CLEO-AT 2020

Conference

ConferenceCLEO: Applications and Technology, CLEO_AT 2020
Country/TerritoryUnited States
CityWashington
Period10/05/2015/05/20

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

Fingerprint

Dive into the research topics of 'High density 3d localization microscopy by multimodal point spread function engineering'. Together they form a unique fingerprint.

Cite this