Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic
differences among a variety of cell populations. It paves the way to studying biological …

Fluorescence microscopy has evolved from a purely observational tool to a platform for
quantitative, hypothesis-driven research. As such, the demand for faster and less phototoxic …

Quantitative analysis of bioimaging data is often skewed by both shading in space and
background variation in time. We introduce BaSiC, an image correction method based on …

Medical image acquisition devices provide a vast amount of anatomical and functional
information, which facilitate and improve diagnosis and patient treatment, especially when …

In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic
resonance (MR) images is addressed. A novel model-based correction method is proposed …

Intensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of
techniques have been devised to correct this artifact. This paper attempts to review some of …

A hierarchical approach to elastic registration based on mutual information, in which the
images are progressively subdivided, locally registered, and elastically interpolated, is …

Background: Many digital microscopy images suffer from poor illumination at the peripheries
(vignetting), often attributable to factors related to the light path between the camera and the …

Over the last two decades, two‐dimensional electrophoresis (2‐DE) gel has established
itself as the de facto approach to separating proteins from cell and tissue samples. Due to …

The presence of systematic noise in images in high‐throughput microscopy experiments can
significantly impact the accuracy of downstream results. Among the most common sources of …