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Iterative Immunostaining and NEDD Denoising for Improved Signal-To-Noise Ratio in ExM-LSCM.

Lucio Azzari1, Minnamari Vippola1, Soile Nymark2

  • 1Tampere Microscopy Center (TMC), Tampere University, Tampere, Finland.

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|September 30, 2024
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Summary

We developed an iterative indirect immunofluorescence (IT-IF) method to boost signal intensity and labeling density in expansion microscopy (ExM). This technique enhances nanoscale imaging for cellular structure visualization.

Keywords:
DenoisingExpansion microscopyIterative indirect immunofluorescence stainingSignal processingSignal-to-background ratio

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Area of Science:

  • Cellular imaging
  • Super-resolution microscopy
  • Biophysics

Background:

  • Expansion microscopy (ExM) offers nanoscale precision for cellular structure visualization.
  • Challenges in ExM include epitope accessibility, labeling density, and individual molecule detection.
  • Existing methods require improvement for enhanced signal and quantitative analysis.

Purpose of the Study:

  • To introduce an iterative indirect immunofluorescence (IT-IF) method to improve epitope labeling density in ExM.
  • To present a signal processing platform (noise estimation, denoising, and deblurring - NEDD) for quantitative image analysis.
  • To enhance signal-to-noise ratio and fluorescence intensity in ExM-laser scanning confocal microscopy (LSCM) data.

Main Methods:

  • Iterative application of immunostaining steps before physical expansion of the sample.
  • Implementation of noise estimation, denoising, and deblurring (NEDD) for signal processing.
  • Utilizing laser scanning confocal microscopy (LSCM) for imaging expanded samples.

Main Results:

  • The IT-IF method significantly improves epitope labeling density, leading to higher signal and total intensity.
  • NEDD-based signal processing enhances reliability in quantitative image analyses.
  • The combined IT-IF and NEDD approach retains signal-to-noise ratio while boosting fluorescence intensity in ExM-LSCM.

Conclusions:

  • IT-IF combined with NEDD signal processing is a significant advancement for ExM-LSCM.
  • This method provides a versatile tool for detailed molecular-level structural analysis of biological systems.
  • The protocol enhances imaging quality, enabling more precise quantitative analyses in nanoscale research.