Automated Image Analysis for High-Content Screening and Analysis

Automated image analysis for high-content screening and analysis.

The field of high-content screening and analysis consists of a set of methodologies for automated discovery in cell biology and drug development using large amounts of image data. In most cases, imaging is carried out by automated microscopes, often assisted by automated liquid handling and cell culture. Image processing, computer vision, and machine learning are used to automatically process h...

Automated cervical cancer screening through image analysis

Automated microscopy for high-content RNAi screening

Fluorescence microscopy is one of the most powerful tools to investigate complex cellular processes such as cell division, cell motility, or intracellular trafficking. The availability of RNA interference (RNAi) technology and automated microscopy has opened the possibility to perform cellular imaging in functional genomics and other large-scale applications. Although imaging often dramatically...

Novel Automated Method for Minirhizotron Image Analysis: Root Detection using Curvelet Transform

In this article a new method is introduced for distinguishing roots and background based on their digital curvelet transform in minirhizotron images. In the proposed method, the nonlinear mapping is applied on sub-band curvelet components followed by boundary detection using energy optimization concept. The curvelet transform has the excellent capability in detecting roots with different orient...

Use of Automated Content Analysis Techniques for Event Image Assessment

Noel Scott Lecturer, School of Tourism and Leisure Management, University of Queensland. e-mail: [email protected] Andrew E. Smith Senior Research Officer, ARC Key Centre for Human Factors and Applied Cognitive Psychology, The University of Queensland, Queensland, Australia 4072. e-mail: [email protected] This department is devoted to research reports, notes, conference résumés a...