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Enhancing Weak-Signal Extraction for Single-Molecule Localization Microscopy.

Xue Cheng¹, Ju Wang¹, Qi Li²

¹State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing100871, China.

The Journal of Physical Chemistry. A

|December 21, 2022

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This summary is machine-generated.

We developed an active modulation method for single-molecule localization microscopy (SMLM) that artificially blinks fluorescent probes. This improves signal-to-noise ratio and sensitivity, reducing errors in super-resolution biological imaging.

Area of Science:

Biophysics
Optical Microscopy
Nanotechnology

Background:

Single-molecule localization microscopy (SMLM) offers ultrahigh spatial resolution for biological imaging.
Weak fluorescence signals and detector noise in SMLM cause localization errors and signal loss, limiting imaging performance.
Reducing photodamage in live cells exacerbates signal weakness.

Purpose of the Study:

To develop an active modulation method to control probe emitter fluorescence in SMLM.
To improve the signal-to-noise ratio (SNR) and localization sensitivity in SMLM.
To reduce localization misalignments and signal losses for enhanced SMLM imaging capability.

Main Methods:

An active modulation technique was employed to control the fluorescence of probe emitters.

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Artificial blinking characteristics were introduced to distinguish weak signals from detector noise.

Simulations and experimental validations were performed to assess the method's efficacy.

Main Results:

The proposed method improved the signal-to-noise ratio by approximately 10 dB compared to non-modulated approaches.
Localization sensitivity was enhanced down to -4 dB.
Significant reduction in localization misalignments and signal losses was observed.

Conclusions:

The active modulation method effectively decouples signal from noise in SMLM.
This strategy is broadly applicable to various super-resolution systems and labeled probes.
The method demonstrates flexibility and improved imaging capability, even in densely labeled samples.