Literature DB >> 24689586

Microscopy image segmentation tool: robust image data analysis.

Ilya Valmianski1, Carlos Monton1, Ivan K Schuller1.   

Abstract

We present a software package called Microscopy Image Segmentation Tool (MIST). MIST is designed for analysis of microscopy images which contain large collections of small regions of interest (ROIs). Originally developed for analysis of porous anodic alumina scanning electron images, MIST capabilities have been expanded to allow use in a large variety of problems including analysis of biological tissue, inorganic and organic film grain structure, as well as nano- and meso-scopic structures. MIST provides a robust segmentation algorithm for the ROIs, includes many useful analysis capabilities, and is highly flexible allowing incorporation of specialized user developed analysis. We describe the unique advantages MIST has over existing analysis software. In addition, we present a number of diverse applications to scanning electron microscopy, atomic force microscopy, magnetic force microscopy, scanning tunneling microscopy, and fluorescent confocal laser scanning microscopy.

Entities:  

Year:  2014        PMID: 24689586     DOI: 10.1063/1.4866687

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  1 in total

1.  Simplified, automated methods for assessing pixel intensities of fluorescently-tagged drugs in cells.

Authors:  Allan Kachelmeier; Tsering Shola; William B Meier; Anastasiya Johnson; Meiyan Jiang; Peter S Steyger
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

  1 in total

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