Multiscale spatial segregation analysis in digital images of biofilms

IF 5.9 Q1 MICROBIOLOGY Biofilm Pub Date : 2023-09-20 DOI:10.1016/j.bioflm.2023.100157
Iztok Dogsa, Ines Mandic-Mulec
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Abstract

Quantifying the degree of spatial segregation of two bacterial strains in mixed biofilms is an important topic in microbiology. Spatial segregation is dependent on spatial scale as two strains may appear to be well mixed if observed from a distance, but a closer look can reveal strong separation. Typically, this information is encoded in a digital image that represents the binary system, e.g., a microscopy image of a two species biofilm. To decode spatial segregation information, we have developed quantitative measures for evaluating the degree of the spatial scale-dependent segregation of two bacterial strains in a digital image. The constructed algorithm is based on the new segregation measures and overcomes drawbacks of existing approaches for biofilm segregation analysis. The new approach is implemented in a freely available software and was successfully applied to biofilms of two strains and bacterial suspensions for detection of the different spatial scale-dependent segregation levels.

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生物膜数字图像的多尺度空间分离分析
量化两种菌株在混合生物膜中的空间分离程度是微生物学中的一个重要课题。空间分离取决于空间尺度,因为如果从远处观察,两个菌株可能看起来混合得很好,但仔细观察可以发现强烈的分离。通常,该信息被编码在表示二进制系统的数字图像中,例如,两种生物膜的显微镜图像。为了解码空间分离信息,我们开发了定量测量方法来评估数字图像中两个菌株的空间尺度依赖性分离程度。所构建的算法基于新的分离措施,克服了现有生物膜分离分析方法的缺点。新方法在一个免费提供的软件中实现,并成功应用于两种菌株的生物膜和细菌悬浮液,用于检测不同的空间尺度依赖性分离水平。
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来源期刊
Biofilm
Biofilm MICROBIOLOGY-
CiteScore
7.50
自引率
1.50%
发文量
30
审稿时长
57 days
期刊介绍:
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