Digital pathology and image analysis in tissue biomarker research.

TL;DR: A real-time image processing, compliant with specifications by balancing accurate detection and execution performance, and offers a method to select fast and discriminant features.

TL;DR: This thesis summarizes four years of HCI and visualization research and provides an overall understanding of designing workstation software for pathologists, covering three main areas of inquiry: Understanding pathologists’ problem solving processes during diagnostic review, how to build different digital tools to support those processes, and how to incorporate digital image analysis algorithms when building these tools.

TL;DR: Wang et al. as mentioned in this paper developed a relative titer (RT) prediction model by the quantitative information extracted from microscope images during the cell line development process, which is able to predict high producers from a given data set when the same host cells were used.

TL;DR: In this paper, the reliability of image analysis for the numerical evaluation of Basic Red 46 (BR 46) dye adsorption process was studied using Image-Pro Plus software, where pixel-specific calibration curves were derived and used to obtain dye concentration from the three primary color channels (red, green, and blue) recorded at each pixel.

TL;DR: A testing algorithm that relies on accurate, reproducible assay performance, including newly available types of brightfield ISH, is proposed and strongly recommends validation of laboratory assay or modifications, use of standardized operating procedures, and compliance with new testing criteria to be monitored.

TL;DR: Methods for Three-Dimensional Imaging and Tutorial on Practical Confocal Microscopy and Use of the Confocal Test Specimen.

TL;DR: This image analysis algorithm provides a robust and flexible method for objective immunohistochemical analysis of samples stained with up to three different stains using a laboratory microscope, standard RGB camera setup and the public domain program NIH Image.

TL;DR: Comprehensive recommendations on preanalytical and analytical assessment, and interpretation and scoring of Ki67 were formulated based on current evidence, geared toward achieving a harmonized methodology, create greater between-laboratory and between-study comparability, and allow earlier valid applications of this marker in clinical practice.