4.7 Article

Sub-diffraction dark spot localization microscopy

Journal

PHOTONICS RESEARCH
Volume 9, Issue 8, Pages 1455-1461

Publisher

CHINESE LASER PRESS
DOI: 10.1364/PRJ.429933

Keywords

-

Categories

Funding

  1. National Natural Science Foundation of China [61735017, 61827825]
  2. Major Program of the Natural Science Foundation of Zhejiang Province [LD21F050002]
  3. Key Research and Development Program of Zhejiang Province [2020C01116]
  4. Fundamental Research Funds for the Central Universities [K20200132]
  5. Zhejiang Lab [2020MC0AE01]

Ask authors/readers for more resources

Single molecular localization microscopy (SMLM) is a useful tool in biological observation with sub-10-nm resolution, but unable to distinguish two molecules within the diffraction-limited region without the help of a stochastic on-off switching scheme. SDLM introduces the concept of sub-diffraction dark spot (SDS) to overcome this limitation, allowing multiple molecules within the diffraction-limited region to be distinguished without the need for stochastic fluorescent switches.
Single molecular localization microscopy (SMLM) is a useful tool in biological observation with sub-10-nm resolution. However, SMLM is incapable of discerning two molecules within the diffraction-limited region unless with the help of a stochastic on-off switching scheme which yet entails time-consuming processes. Here, we produce a novel kind of focal spot pattern, called sub-diffraction dark spot (SDS), to localize molecules within the sub-diffraction region of interest. In our proposed technique nominated as sub-diffracted dark spot localization microscopy (SDLM), multiple molecules within the diffraction-limited region could be distinguished without the requirement of stochastic fluorescent switches. We have numerically investigated some related impacts of SDLM, such as detection circle diameter, collected photon number, background noise, and SDS size. Simulative localization framework has been implemented on randomly distributed and specifically structured samples. In either two- or three-dimensional case, SDLM is evidenced to have similar to 2 nmlocalization accuracy. (C) 2021 Chinese Laser Press

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available