Wamiq Manzoor Ahmed

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PURPOSE A web-based application was developed to remotely view slide specimens and control all functions of a research-level light microscopy workstation, called AccessScope. Students and scientists with upper limb mobility and visual impairments are often unable to use a light microscope by themselves and must depend on others in its operation. METHOD(More)
Disease outbreaks due to contaminated food are a major concern not only for the food-processing industry but also for the public at large. Techniques for automated detection and classification of microorganisms can be a great help in preventing outbreaks and maintaining the safety of the nation's food supply. Identification and classification of foodborne(More)
High-throughput biological imaging uses automated imaging devices to collect a large number of microscopic images for analysis of biological systems and validation of scientific hypotheses. Efficient manipulation of these datasets for knowledge discovery requires high-performance computational resources, efficient storage, and automated tools for extracting(More)
Microscopic imaging is one of the most common techniques for investigating biological systems. In recent years there has been a tremendous growth in the volume of biological imaging data owing to rapid advances in optical instrumentation, high-speed cameras and fluorescent probes. Powerful semantic analysis tools are required to exploit the full potential(More)
Extraction of quantitative information about spatio- temporal events happening in cells is the key to understanding biological processes. In this paper we present a finite state machine (FSM)-based model for specification and identification of spatio-temporal events at the single-cell level. Cells are modeled as objects with specific attributes such as(More)
data. The analysis is divided into low-and high-level processing. At the lower level, we address issues like segmentation, tracking, and object recognition, and at the high level, we use finite state machine-and Petri-net-based models for spatiotemporal event recognition. R ecent advances in high-speed cameras , automation technologies, fluorescent probes,(More)
Figure 17. A representative set of images for the apoptosis screen showing HL60 cells in different states. (Upper left) Hoechst33342, (Upper right) Annexin V FITC, (Lower left) PI, (Lower right) Merged image. Images were aquired using an E1000 fluorescence microscope (Nikon, Tokoyo, Japan) using a 60x 1.4 NA lens. Fluorescence images of the PI, Annexin V(More)