Special Issue

  • ي, ۱۳۹۶/۰۱/۲۰ - ۰۸:۳۱
Microscopic Image Analysis

Call for Papers

Nowadays, microscopic images are widely utilized for disease diagnosis and monitoring treatment.‎ For example, interpretation of microscopic images of the human tissue biopsies is a reliable way for screening malignancies and for grading of cancer.‎ However, manual analysis and interpretation of these images can be troublesome, slow, and time-consuming for clinical and research purposes.‎ Thus, computer-aided tools that perform semiautomated or automated image processing for enhancement, segmentation, classification, and so forth are needed.‎ Accordingly, development of computational methods for analysis of microscopic images is a topic of interest in the field of image processing and computer vision.‎ The goal of this special issue is to present latest developments and cutting-edge research in analysis of microscope images for variety of biomedical applications.‎

The scope includes computational methods, applications, tools, and software for analysis of microscopic images from any optical imaging modality, such as light, electron, fluorescence, and X-ray microscopy.‎

Potential topics include but are not limited to the following:

  • Acquisition, storage, and communication of microscopic image data
  • Microscopic image denoising/enhancement
  • Microscopic image reconstruction
  • Registration and mosaicking of microscopy images
  • Object detection and segmentation
  • Classification and object recognition
  • Analysis of shape and morphology
  • Motion analysis and object tracking
  • Microscopic image fusion
  • Visualization
  • Computer-aided detection and diagnosis
  • Development of tools and software in microscopy imaging
  • Evaluation of algorithms and systems


Authors can submit their manuscripts through the Manuscript Tracking System athttps://mts.hindawi.com/submit/journals/jhe/mia/‎.



Manuscript Due Friday, 25 August 2017
First Round of Reviews Friday, 17 November 2017
Publication Date Friday, 12 January 2018


Lead Guest Editor

Guest Editors