Bioimage informatics | Wikipedia audio article
Channel: wikipedia tts
Date: 21/01/2019

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Bioimage_informatics


00:01:15 1 Data Modalities
00:01:34 1.1 Fluorescent Microscopy
00:03:55 1.2 Histology
00:05:20 2 Important Problems
00:05:31 2.1 Subcellular Location Analysis
00:07:01 2.2 High-Content Screening
00:08:02 2.3 Segmentation
00:10:25 2.4 Tracking
00:11:30 2.5 Registration
00:13:15 3 Important Venues
00:14:01 4 Software
00:15:01 5 See also
00:15:25 6 External links



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SUMMARY
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Bioimage informatics is a subfield of bioinformatics and computational biology. It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput. The  goal is to obtain useful knowledge out of complicated and heterogeneous image and related metadata.
Automated microscopes are able to collect large numbers of images with minimal intervention. This has led to a data explosion, which absolutely requires automatic processing. Additionally, and surprisingly, for several of these tasks, there is evidence that automated systems can perform better than humans. In addition, automated systems are unbiased, unlike human based analysis whose evaluation may (even unconsciously) be influenced by the desired outcome.
There has been an increasing focus on developing novel image processing, computer vision, data mining, database and visualization techniques to extract, compare, search and manage the biological knowledge in these data-intensive problems.