American Journal of Biomedical and Life Sciences

Special Issue

Spectral Imaging for Medical Diagnosis “Modern Tool for Molecular Imaging”

  • Submission Deadline: Feb. 10, 2015
  • Status: Submission Closed
  • Lead Guest Editor: Issa Ibraheem
About This Special Issue
The costs for the health systems - worldwide - explode and it seems that this problem will not be solved easily in the next time.

Recent advances in sensor technology, calibration procedures, microscopy, hyper-spectral classification and post-processing together with a large and increasing number of outstanding research projects indicate the high potential of spectral imaging as an emerging technology.

A new strategy depends on treating the causative agents instead of the treatment of the feature of disease.

The future technology of terahertz using Spectral imaging sensors can acquire hyper-spectral images, images with an additional spectral dimension to the spatial information, providing not only the brightness (monochrome imaging = one channel) or color (RGB-imaging = 3 channels) but an individual spectrum for each pixel (10 up to 1000 bands). This allows acquiring images containing valuable information about the molecular or atomic compositions and structures of the observed materials.

The spectral imaging combined with the fluorescence microscopy allows acquiring the fluorescent spectral fingerprint and morphological spatial information of small molecular and cell nuclei compositions. In this sense the trend in cancer cells diagnosis and stem cell research is to use the fluorescence spectral microscopy to determine the significant spectral information (Fingerprint of each component) to find the relevant information that can be used in building the modern strategy in therapy of illnesses.

Applications range from material inspection, analysis and classification tasks to medical diagnosis. Thus, spectral imaging opens a wide field of applications for scientists and engineers in medicine, agriculture, pharmaceutical, manufacturing, recycling, chemistry, forensic medicine and military fields.
Lead Guest Editor
  • Issa Ibraheem

    Faculty of Biomedical Engineering, Al-Andalus Private University for Medical Sciences, Tartus, Syria

Guest Editors
  • Aula Ammar

    School of Pharmacy, Tishreen University, Latakia, Syria

  • Zuheir Alshehabi

    School of Medicine, Tishreen University, Lattakia, Syria

  • Issa Ahmad

    School of Medicine, Tishreen University, Latakia, Syria

  • Hani Amasha

    Biomedical Eng Department, School of Biomedical Engineering, Damascus University, Damascus, Syria

Published Articles
  • Early detection of melanoma using multispectral imaging and artificial intelligence techniques

    Moataz Aboras , Hani Amasha , Issa Ibraheem

    Issue: Volume 3, Issue 2-3, April 2015
    Pages: 29-33
    Received: Dec. 18, 2014
    Accepted: Dec. 19, 2014
    Published: Aug. 07, 2015
    DOI: 10.11648/j.ajbls.s.2015030203.16
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    Abstract: Biomedical spectral imaging is a non-invasive, non-destructive method, and has an important role in melanoma detection and all skin lesions monitoring during their various stages. In addition to spatial information, it contains spectral information that describes structure such as melanin content, and melanoma thickness, which, very well improve th... Show More
  • The relationship between segmentation failure and spermatozoa motility characteristics

    Muhammad Harfous , Hassn Hasan

    Issue: Volume 3, Issue 2-3, April 2015
    Pages: 25-28
    Received: Jan. 16, 2015
    Accepted: Jan. 19, 2015
    Published: Aug. 07, 2015
    DOI: 10.11648/j.ajbls.s.2015030203.15
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    Abstract: Dynamics of sperm motility (sperm velocity, percentage of motility and flagellar beat frequency) and monthly variations of semen characteristics (semen volume and osmolality and sperm concentration and motility) were studied. These criteria were used in the embryology laboratory and reproductive biology in the city of Lattakia, Syria, This study sh... Show More
  • Protein solvent accessibility prediction systemss

    Ritta Shaheen , Hani Amasha , Majd Aljamali

    Issue: Volume 3, Issue 2-3, April 2015
    Pages: 21-24
    Received: Dec. 07, 2014
    Accepted: Dec. 09, 2014
    Published: Aug. 07, 2015
    DOI: 10.11648/j.ajbls.s.2015030203.14
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    Abstract: Background: Prediction of protein solvent accessibility, also called accessible surface area (ASA) prediction, is an important step for tertiary structure prediction directly from one-dimensional sequences. Traditionally, predicting solvent accessibility is regarded as either a two- (exposed or buried) or three-state (exposed, intermediate or burie... Show More
  • Molecular expression analysis of different inflammatory mediators and their role in breast cancer progression and metastasis

    Aula Ammar , Amani Halabi , Zuheir Al-Shehabi

    Issue: Volume 3, Issue 2-3, April 2015
    Pages: 16-20
    Received: Dec. 07, 2014
    Accepted: Dec. 09, 2014
    Published: Aug. 07, 2015
    DOI: 10.11648/j.ajbls.s.2015030203.13
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    Abstract: Introduction: Cytokines include different subfamilies such as interleukins (IL), chemokines, and growth factors. They play an important role in inflammatory conditions such as cancer progression and metastasis. There is an increasing interest in developing strategies to antagonize the function of some cytokine/chemokine to interfere with tumor prog... Show More
  • Maximum Likelihood and Spectral Angle Mapper and K-means algorithms used to detection of Melanoma

    Issa Ibraheem

    Issue: Volume 3, Issue 2-3, April 2015
    Pages: 8-15
    Received: Dec. 07, 2014
    Accepted: Dec. 09, 2014
    Published: Aug. 07, 2015
    DOI: 10.11648/j.ajbls.s.2015030203.12
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    Abstract: Melanoma is a leading fatal illness responsible for 80% of deaths from skin cancer. It originates in the pigment-producing melanocytes in the basal layer of the epidermis. Melanocytes produce the melanin, (the dark pigment), which is responsible for the color of skin. As all cancers, melanoma is caused by damage to the DNA of the cells, which cause... Show More
  • Automated Breast Cancer Detection Using FISH Spectral Linear Unmixing

    Issa Ibraheem

    Issue: Volume 3, Issue 2-3, April 2015
    Pages: 1-7
    Received: Dec. 07, 2014
    Accepted: Dec. 09, 2014
    Published: Aug. 07, 2015
    DOI: 10.11648/j.ajbls.s.2015030203.11
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    Abstract: Fluorescence microscopy plays an important role in the classification of cancerous Tissue. The dramatic increase in multicolor fluorescence microscopy applications witnessed over the past decade is due, in part, to the significant advances in instrument and detector design. A number of advanced microscopy techniques have been applied using multi-co... Show More