TITLE

Wavelets filtering for classification of very noisy electron microscopic single particles images- application on structure determination of VP5-VP19C recombinant

AUTHOR(S)
Saad, Ali Samir
PUB. DATE
January 2003
SOURCE
BMC Structural Biology;2003, Vol. 3, p9
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Background: Images of frozen hydrated [vitrified] virus particles were taken close-to-focus in an electron microscope containing structural signals at high spatial frequencies. These images had very low contrast due to the high levels of noise present in the image. The low contrast made particle selection, classification and orientation determination very difficult. The final purpose of the classification is to improve the signal-to-noise ratio of the particle representing the class, which is usually the average. In this paper, the proposed method is based on wavelet filtering and multi-resolution processing for the classification and reconstruction of this very noisy data. A multivariate statistical analysis (MSA) is used for this classification. Results: The MSA classification method is noise dependant. A set of 2600 projections from a 3D map of a herpes simplex virus -to which noise was added- was classified by MSA. The classification shows the power of wavelet filtering in enhancing the quality of class averages (used in 3D reconstruction) compared to Fourier band pass filtering. A 3D reconstruction of a recombinant virus (VP5-VP19C) is presented as an application of multi-resolution processing for classification and reconstruction. Conclusion: The wavelet filtering and multi-resolution processing method proposed in this paper offers a new way for processing very noisy images obtained from electron cryo-microscopes. The multi-resolution and filtering improves the speed and accuracy of classification, which is vital for the 3D reconstruction of biological objects. The VP5-VP19C recombinant virus reconstruction presented here is an example, which demonstrates the power of this method. Without this processing, it is not possible to get the correct 3D map of this virus.
ACCESSION #
29323544

 

Related Articles

  • A Novel Noisy Image Fusion Technique Using Dual-Tree Complex Wavelet Transform. RAJESWARA, MAHIDAR P.; N. V. G. PRASAD; SASTRY, V. L. N. // International Journal of Engineering Science & Technology;2011, Vol. 3 Issue 6, p4523 

    Nowadays Image fusion is become very popular for its application in various real life applications such as remote sensing applications, medical image diagnosis. The non-idle nature of practical imaging systems the capture images are corrupted by noise, hence Fusion of images is an integrated...

  • Speckle Noise Reduction in Ultrasound Images Using Context-based Adaptive Wavelet Thresholding. Sudha, S.; Suresh, G. R.; Sukanesh, R. // IETE Journal of Research (Medknow Publications & Media Pvt. Ltd.;May/Jun2009, Vol. 55 Issue 3, p135 

    In medical imaging, image denoising has become a very essential exercise all through the diagnosis. Compromise between the preservation of useful diagnostic information and noise suppression must be respected in medical images. One of the ultimate goals of an imaging modality is to provide the...

  • A Hybrid Despeckling Model for Medical Ultrasound Images. Vanithamani, R.; Umamaheswari, G.; AjayKrishnan, A.; Ilaiyarasan, C.; Iswariya, K.; Kritika, C. G. // Journal of Computing;Sep2011, Vol. 3 Issue 9, p24 

    A hybrid despecklingmodelbased on wavelet shrinkage and bilateral filter isdesigned and tested for ultrasound images. The different wavelet thresholding techniques along with bilateral filter before decomposition and after reconstruction using wavelets are compared against NeighShrinkSURE...

  • Multiresolution Denoising for Optical Coherence Tomography: A Review and Evaluation. Pižurica, Aleksandra; Jovanov, Ljubomir; Huysmans, Bruno; Zlokolica, Vladimir; De Keyser, Paul; Dhaenens, Frans; Philips, Wilfried // Current Medical Imaging Reviews;2008, Vol. 4 Issue 4, p270 

    Recently emerging non-invasive imaging modality -- optical coherence tomography (OCT) -- is becoming an increasingly important diagnostic tool in various medical applications. One of its main limitations is the presence of speckle noise which obscures small and low-intensity features. The use of...

  • Medical Image Compression Using Fuzzy C-Means Based Contourlet Transform. Tamilarasi, M.; Palanisamy, V. // Journal of Computer Science;2011, Vol. 7 Issue 9, p1386 

    Problem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The...

  • SPECKLE REDUCTION OF ULTRASOUND IMAGES OF BONE FRACTURE USING WAVELETS. Zain, Muhammad Luqman Bin Muhd; Elamvazuthi, Irraivan; Begam, Mumtaj // AIP Conference Proceedings;6/20/2011, Vol. 1337 Issue 1, p166 

    Ultrasound imaging or ultrasound scanning has become a very important diagnostic tool in many areas of medicine. However, due to inherent speckle noises in the ultrasound images which make the images unclear for fast interpretation, the use of ultrasound for bone fracture detection is limited....

  • Motion Fuzzy Image Denoising Algorithm Based on Wavelet Threshold Compression. Min Li; Chuan Gu; Defa Hu // Metallurgical & Mining Industry;2015, Issue 10, p113 

    Under the condition of strong interference, the fuzzy motion picture usually contains a lot of noise. It is difficult to carry out the detailed analysis. So it is necessary to carry out the image noise reduction filtering. The traditional method uses wavelet analysis to reduce the noise of the...

  • A High Resolution Color Image Restoration Algorithm for Thin TOMBO Imaging Systems. El-Sallam, Amar A.; Boussaid, Farid // Sensors (14248220);2009, Vol. 9 Issue 6, p4649 

    In this paper, we present a blind image restoration algorithm to reconstruct a high resolution (HR) color image from multiple, low resolution (LR), degraded and noisy images captured by thin (< 1mm) TOMBO imaging systems. The proposed algorithm is an extension of our grayscale algorithm reported...

  • Review of single image signal-to-noise ratio estimation for SEM image. Sim, K. S.; Nia, M. E.; Tso, C. P. // AIP Conference Proceedings;May2013, Vol. 1528 Issue 1, p365 

    Scanning electron microscope (SEM) image signal-to-noise ratio (SNR) depends on the beam current, the materials present in the specimen, and the specimen topography. It is desirable to quantify the SNR in SEM images, as it is a parameter, along with spatial resolution, that quantifies the image...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics