RESUMO
BACKGROUND: Two-dimensional gel electrophoresis (2DE) is a powerful technique for studying protein isoforms and their modifications. Existing commercial 2D image analysis tools rely on spot detection that limits analysis of complex protein profiles, e.g. spot appearance/disappearance or overlapping spots. Pixel-by-pixel correlation analysis, an analysis technique for identifying relations between protein patterns in gel images and external variables, can overcome such limitations in spot analysis. RESULTS: We have implemented the first publically available pixel-by-pixel correlation analysis tool, the software Gel2DE. 2D immunoblot time course analysis of p53 protein stabilization in response to ionizing irradiation shows that pixel-by-pixel analysis can yield an overall activation biosignature for p53, despite changing spots shape, size and position. CONCLUSIONS: Pixel-by-pixel correlation of aligned 2D images permits analysis of complex protein patterns. We anticipate that the Gel2DE correlation software will be a useful tool for future bioinformatics discoveries through 2D gel electrophoresis.
Assuntos
Eletroforese em Gel Bidimensional/métodos , Processamento de Proteína Pós-Traducional , Software , Isoformas de Proteínas/análise , Proteína Supressora de Tumor p53/análise , Proteína Supressora de Tumor p53/metabolismoRESUMO
This report presents a VR system for evaluation of treatment plans used in radiotherapy (RT), developed to improve the understanding of the spatial relationships between the patient anatomy and the calculated dose distribution. The VR system offers visualization through interactive volume rendering of RT dose distribution and computed tomography (CT) and surface and line rendering of RT structures such as target volumes and organs at risk. The VR system has been installed and networked in a hospital room used for the daily RT conferences, making stereoscopic viewing of treatment planning data for clinical cases possible.
Assuntos
Planejamento da Radioterapia Assistida por Computador/métodos , Radioterapia/normas , Humanos , Dosagem RadioterapêuticaRESUMO
We propose a methodology to perform real time image-based tracking on streaming 4D ultrasound data, using image registration to deduce the positioning of each ultrasound frame in a global coordinate system. Our method provides an alternative approach to traditional external tracking devices used for tracking probe movements. We compare the performance of our method against magnetic tracking on phantom and liver data, and show that our method is able to provide results in agreement with magnetic tracking.