A mobile terminal including a body; a touchscreen provided to a front and extending to side of the body and configured to display content; and a controller configured to detect one side of the body comes into contact with one side of an external terminal, display a first area on the touchscreen corresponding to a contact area of the body and the external terminal and a second area including the content, receive an input of moving the content displayed in the second area to the first area, display the content in the first area, and share the content in the first area with the external terminal.

Mobile terminal and method for controlling the same

High-throughput screening (HTS) assays enable the testing of large numbers of chemical substances for activity in diverse areas of biology. The biological responses measured in HTS assays span isolated biochemical systems containing purified receptors or enzymes to signal transduction pathways and complex networks functioning in cellular environments. This Review addresses factors that need to be considered when implementing assays for HTS and is aimed particularly at investigators new to this field. We discuss assay design strategies, the major detection technologies and examples of HTS assays for common target classes, cellular pathways and simple cellular phenotypes. We conclude with special considerations for configuring sensitive, robust, informative and economically feasible HTS assays.

High-throughput screening assays for the identification of chemical probes

Digital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology or tissue structure. Manual assessment is labor intensive and prone to interobserver variations. Computer-aided methods, which can significantly improve the objectivity and reproducibility, have attracted a great deal of interest in recent literature. Among the pipeline of building a computer-aided diagnosis system, nucleus or cell detection and segmentation play a very important role to describe the molecular morphological information. In the past few decades, many efforts have been devoted to automated nucleus/cell detection and segmentation. In this review, we provide a comprehensive summary of the recent state-of-the-art nucleus/cell segmentation approaches on different types of microscopy images including bright-field, phase-contrast, differential interference contrast, fluorescence, and electron microscopies. In addition, we discuss the challenges for the current methods and the potential future work of nucleus/cell detection and segmentation.

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Determining the growth patterns of single cells offers answers to some of the most elusive questions in contemporary cell biology: how cell growth is regulated and how cell size distributions are maintained. For example, a linear growth in time implies that there is no regulation required to maintain homeostasis; an exponential pattern indicates the opposite. Recently, there has been great effort to measure single cells using microelectromechanical systems technology, and several important questions have been explored. However, a unified, easy-to-use methodology to measure the growth rate of individual adherent cells of various sizes has been lacking. Here we demonstrate that a newly developed optical interferometric technique, known as spatial light interference microscopy, can measure the cell dry mass of many individual adherent cells in various conditions, over spatial scales from micrometers to millimeters, temporal scales ranging from seconds to days, and cell types ranging from bacteria to mammalian cells. We found evidence of exponential growth in Escherichia coli, which agrees very well with other recent reports. Perhaps most importantly, combining spatial light interference microscopy with fluorescence imaging provides a unique method for studying cell cycle-dependent growth. Thus, by using a fluorescent reporter for the S phase, we measured single cell growth over each phase of the cell cycle in human osteosarcoma U2OS cells and found that the G2 phase exhibits the highest growth rate, which is mass-dependent and can be approximated by an exponential.

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Optical measurement of cycle-dependent cell growth

Cell Population Tracking and Lineage Construction with Spatiotemporal Context

In one aspect, the present invention relates to a method (200) for identifying one or more phenotypes from a multi-parameter data set. The method (200) comprises measuring (202) correlation between pairs of parameters within the multi-parameter data set, modifying (204) correlated parameter values within a predetermined multi-parameter data analysis set to form an analysis parameter set, and analysing (206) the multi-parameter data set using the analysis parameter set to identify one or more phenotypes from the multi-parameter data set. Various embodiments of the present invention may, for example, be used in an automated high-content screening (HCS) apparatus (100) for biological cellular analysis.

Method and apparatus for multi-parameter data analysis

Disclosed is a method for the measurement of a cellular process, or for the measurement of the effect of a test compound on a cellular process, in one or more different populations of cells. The method comprises providing separate samples of one or more different populations of cells adhering to support particles, the support particles comprising a scintillant substance and being adapted for cell growth. In one embodiment, different samples of cells are introduced into separate reaction vessels in a fluid medium, together with a reagent labelled with a radioisotope, in the presence or the absence of the test compound, under conditions so as to cause a portion of said radiolabelled reagent to become associated with the cells. In another embodiment, multiparameter analysis may be performed to determine the effect of a test compound on a cellular process using two or more different cell populations present in the same well. Measurement of the cellular process, or the effect of a test compound on a cellular process may be made by detecting light emission from the scintillant particles caused by radioactive decay of the radioisotope.

Support and method for cell based assays

A method of processing an image of a biological sample containing nuclei, cytoplasm and micronuclei, each of the nuclei being surrounded by cytoplasm, determines the incidence of micronuclei in the sample. The cytoplasm has a maximum distance, which is the largest extent of the cytoplasm from its nucleus occurring in the image. The method includes the steps of setting a search distance at a value less than the maximum distance, searching for micronuclei within the search distance from the nuclei and annotating the micronuclei found in the search.

Method of processing a biological image

PROBLEM TO BE SOLVED: To provide a method of processing biological images. SOLUTION: In the present method of processing the image of biological samples, containing nuclei, cytoplasm and micronuclei, each of the nuclei is surrounded by cytoplasm, determines the incidence of micronuclei in the sample. The cytoplasm has a maximum distance, which is the largest extent of the cytoplasm from its nucleus that has appeared in the image. The method includes the steps of setting the search distance at a value smaller than the maximum distance, searching for micronuclei within the search distance from the nuclei, and annotating the micronuclei found by search. COPYRIGHT: (C)2007,JPO&INPIT

Method of processing biological image

To maximize the potential of high‐content cellular analysis for investigating complex cellular signaling pathways and processes, we have generated a library of adenoviral encoded cellular sensors based on protein translocation and reporter gene activation that enable a diverse set of assays to be applied to lead compound profiling in drug discovery and development. Adenoviral vector transduction is an efficient and technically simple system for expression of cellular sensors in diverse cell types, including primary cells. Adenoviral vector‐mediated transient expression of cellular sensors, either as fluorescent protein fusions or live cell gene reporters, allows rapid assay development for profiling the activities of candidate drugs across multiple cellular systems selected for biological and physiological relevance to the target disease state.

Nicholas Thomas

Papers

Method and apparatus for multi-parameter data analysis

Support and method for cell based assays

Method of processing a biological image

Method of processing biological image

Adenoviral sensors for high-content cellular analysis.