Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images.

With the advancement of urbanization and the impact of industrial pollution, the issue of urban ventilation has attracted increasing attention. Research on urban ventilation corridors is a hotspot in the field of urban planning. Traditional studies on ventilation corridors mostly focus on qualitative or simulated research on urban climate issues such as the intensified urban heat island effect, serious environmental pollution, and insufficient climate adaptability.

[New mathematical method for automating the analysis of fluorescein angiograms of the human fundus].

Unlabelled: Specific software for digital image analysis is essential for adequate analysis and objectification of ophthalmic images, assessment of the prevalence of the pathological process, as well as for planning the amount of necessary medical intervention in various diseases.

Purpose: To develop a method for automatic analysis of angiographic images of the fundus for early diagnosis of vascular disorders and complications in a number of ophthalmic diseases.

Material And Methods: Initial angiograms of patients (=117) with vascular eye diseases and in healthy condition were analyzed in automatic mode using a new mathematical approach to digital processing of fundus fluorescein angiograms based on a three-stage algorithm for extracting information from images.

A survey on applications of deep learning in microscopy image analysis.

Advanced microscopy enables us to acquire quantities of time-lapse images to visualize the dynamic characteristics of tissues, cells or molecules. Microscopy images typically vary in signal-to-noise ratios and include a wealth of information which require multiple parameters and time-consuming iterative algorithms for processing. Precise analysis and statistical quantification are often needed for the understanding of the biological mechanisms underlying these dynamic image sequences, which has become a big challenge in the field.

Development of fan-shaped tracker for single particle tracking.

With the development of super-resolution fluorescence microscopy, complex dynamic processes in living cells can be observed and recorded with unprecedented temporal and spatial resolution. Single particle tracking (SPT) is the most important step to explore the relationship between the spatio-temporal dynamics of subcellular molecules and their functions. Although previous studies have developed SPT algorithms to quantitatively analyze particle dynamics in cell, traditional tracking methods have poor performance when dealing with intersecting trajectories.

Extraction of nerve cells in images with herpetic infections.

In this paper, algorithms for extracting and diagnosis of nerve cells with herpetic infections are proposed. Degree of herpetic lesions is divided into four classes. Morphological characteristic of herpetic lesions for cell is accomplished by analyze cells structure.