Polerecky Lubos, Bissett Andrew, Al-Najjar Mohammad, Faerber Paul, Osmers Harald, Suci Peter A, Stoodley Paul, de Beer Dirk
Max Planck Institute for Marine Microbiology, Bremen, Germany.
Appl Environ Microbiol. 2009 Feb;75(3):758-71. doi: 10.1128/AEM.00819-08. Epub 2008 Dec 12.
Here we describe a spectral imaging system for minimally invasive identification, localization, and relative quantification of pigments in cells and microbial communities. The modularity of the system allows pigment detection on spatial scales ranging from the single-cell level to regions whose areas are several tens of square centimeters. For pigment identification in vivo absorption and/or autofluorescence spectra are used as the analytical signals. Along with the hardware, which is easy to transport and simple to assemble and allows rapid measurement, we describe newly developed software that allows highly sensitive and pigment-specific analyses of the hyperspectral data. We also propose and describe a number of applications of the system for microbial ecology, including identification of pigments in living cells and high-spatial-resolution imaging of pigments and the associated phototrophic groups in complex microbial communities, such as photosynthetic endolithic biofilms, microbial mats, and intertidal sediments. This system provides new possibilities for studying the role of spatial organization of microorganisms in the ecological functioning of complex benthic microbial communities or for noninvasively monitoring changes in the spatial organization and/or composition of a microbial community in response to changing environmental factors.
在此,我们描述了一种光谱成像系统,用于对细胞和微生物群落中的色素进行微创识别、定位和相对定量分析。该系统的模块化特性使得能够在从单细胞水平到面积达数十平方厘米的区域等空间尺度上检测色素。对于体内色素识别,吸收光谱和/或自发荧光光谱被用作分析信号。除了易于运输、组装简单且能实现快速测量的硬件外,我们还描述了新开发的软件,该软件可对高光谱数据进行高灵敏度和色素特异性分析。我们还提出并描述了该系统在微生物生态学中的一些应用,包括活细胞中色素的识别以及复杂微生物群落(如光合内生生物膜、微生物席和潮间带沉积物)中色素及相关光合营养菌群的高空间分辨率成像。该系统为研究微生物的空间组织在复杂底栖微生物群落生态功能中的作用,或为无创监测微生物群落的空间组织和/或组成响应环境因素变化的情况提供了新的可能性。