Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Development of Novel Fluorescent Proteins for Superresolution Imaging

Not Accessible

Your library or personal account may give you access

Abstract

Photoactivatable fluorescent proteins (PAFPs) are molecules that switch to a new fluorescent state in response to specific light activation, and play vital roles in super-resolution imaging. There are three classes of PAFPs: dark-to-bright photoactivators (PAFPs), irreversible photoconverters (PCFPs), and reversible highlighters (RSFP). However, compared to traditional fluorescent proteins (such as GFP or RFP), only limited PAFPs are available for super-resolution microscopy. In previous report, we developed several novel PAFPs, mGeos, with various switching rates, photon numbers and brightness. And based on the crystal structure of green state mEos2, we evolved two truly monomeric and bright RSFPs, mEos3.1 and mEos3.2, with the good photochemical properties including rapid maturation rate, high photon budget and extremely high labeling density. These novel fluorescent proteins are suitable for both single color and dual color (F)PALM/STORM superresolution imaging.

© 2013 Optical Society of America

PDF Article
More Like This
Common fluorescent proteins for single-molecule localization microscopy

Natalia V. Klementieva, Nina G. Bozhanova, Natalie M. Mishina, Elena V. Zagaynova, Konstantin A. Lukyanov, and Alexander S. Mishin
953609 European Conference on Biomedical Optics (ECBO) 2015

Dual-Color Superresolution Imaging Using Genetically Expressed Probes

Hari Shroff, Catherine G. Galbraith, James A. Galbraith, Helen White, Jennifer Gillette, Scott Olenych, Michael W. Davidson, and Eric Betzig
CFT1 Conference on Lasers and Electro-Optics (CLEO:S&I) 2008

Multi-modality Super-resolution Optical Imaging of Living System

Xuanze Chen, Xi Zhang, Pingyong Xu, and Peng Xi
19a_C4_7 JSAP-OSA Joint Symposia (JSAP) 2014

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.