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Computer Vision-Bas...
Computer Vision-Based Image Analysis of Bacteria
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- Danielsen, Jonas (författare)
- Lund University
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- Nordenfelt, Pontus (författare)
- Lund University,Lunds universitet,Infektionsmedicin,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Kvantitativ immunbiologi,Forskargrupper vid Lunds universitet,Infection Medicine (BMC),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Quantitative immunobiology,Lund University Research Groups
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Nordenfelt, Pontus (redaktör/utgivare)
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Collin, Matthias (redaktör/utgivare)
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(creator_code:org_t)
- 2016-12-03
- 2017
- Engelska 12 s.
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Ingår i: Bacterial Pathogenesis : Methods and Protocols - Methods and Protocols. - New York, NY : Springer New York. - 1064-3745. - 9781493966714 - 9781493966738 ; 1535, s. 161-172
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Microscopy is an essential tool for studying bacteria, but is today mostly used in a qualitative or possibly semi-quantitative manner often involving time-consuming manual analysis. It also makes it difficult to assess the importance of individual bacterial phenotypes, especially when there are only subtle differences in features such as shape, size, or signal intensity, which is typically very difficult for the human eye to discern. With computer vision-based image analysis - where computer algorithms interpret image data - it is possible to achieve an objective and reproducible quantification of images in an automated fashion. Besides being a much more efficient and consistent way to analyze images, this can also reveal important information that was previously hard to extract with traditional methods. Here, we present basic concepts of automated image processing, segmentation and analysis that can be relatively easy implemented for use with bacterial research.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Publikations- och innehållstyp
- kap (ämneskategori)
- ref (ämneskategori)
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