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Related Concept Videos

Atomic Force Microscopy01:08

Atomic Force Microscopy

Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...

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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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DeStripe: frequency-based algorithm for removing stripe noises from AFM images.

Shu-wen W Chen1, Jean-Luc Pellequer

  • 1CEA, iBEB, Service de Biochimie et Toxicologie Nucléaire, F-30207 Bagnols sur Cèze, France.

BMC Structural Biology
|February 2, 2011
PubMed
Summary
This summary is machine-generated.

A new denoising protocol, DeStripe, effectively removes stripe noise from atomic force microscopy (AFM) images. This method enhances visualization of bio-molecular structures without introducing artifacts, improving structural biology research.

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Area of Science:

  • Structural biology
  • Biophysics
  • Microscopy

Background:

  • Atomic force microscopy (AFM) provides high-resolution imaging of molecular surfaces, crucial for structural biology and biophysics.
  • Stripe noise is a common artifact in AFM images that hinders detailed structural interpretation.
  • Frequency domain denoising is preferred for preserving image edge sharpness.

Purpose of the Study:

  • To develop and present a denoising protocol for removing stripe noise from AFM bio-molecular images.
  • To improve the visualization and interpretation of AFM data by reducing artifacts.
  • To offer a robust solution applicable to various imaging techniques affected by stripe noise.

Main Methods:

  • Developed a denoising protocol named DeStripe.
  • Employed a divide-and-conquer strategy within the Fourier spectrum.
  • Processed images by dividing the spectrum into central and off-center regions for noise detection and restoration.

Main Results:

  • DeStripe effectively removes heavy and fine stripes from AFM images.
  • The protocol enhances image object visualization without introducing new artifacts.
  • It is also applicable to images from other techniques like scanning electron microscopy.

Conclusions:

  • DeStripe significantly improves the quality of AFM bio-molecular images.
  • The protocol enables extraction of more detailed information from topographic measurements.
  • DeStripe is user-friendly, requiring only raw images as input, and is available as a web service.