Technological advances in automated microscopy now allow rapid acquisition of many
images without human intervention, images that can be used for large-scale screens. The …

We present a method to separate clustered nuclei from fluorescence microscopy cellular
images, using shape markers and marking function in a watershed-like algorithm. Shape …

Genes are transcribed in a discontinuous pattern referred to as RNA bursting, but the
mechanisms regulating this process are unclear. Although many physiological signals …

Neural cell instance segmentation, which aims at joint detection and segmentation of every
neural cell in a microscopic image, is essential to many neuroscience applications. The …

This paper presents a method that enables automated morphology analysis of partially
overlapping nanoparticles in electron micrographs. In the undertaking of morphology …

Cell viability and cytotoxicity assays are highly important for drug screening and cytotoxicity
tests of antineoplastic or other therapeutic drugs. Even though biochemical-based tests are …

This paper presents two automated methods for the segmentation of immunohistochemical
tissue images that overcome the limitations of the manual approach as well as of the existing …

To study the process of morphogenesis, one often needs to collect and segment time‐lapse
images of living tissues to accurately track changing cellular morphology. This task typically …

Yeast fluorescence microscopic images are widely used to observe the living conditions and
survival of yeast cells under experimental conditions. Accurate cell counting provides key …

We propose a cell segmentation method for analyzing images of densely clustered cells.
The method combines the strengths of marker-controlled watershed transformation and a …