Previous Article | Next Article ![]()
Applied and Environmental Microbiology, March 2009, p. 1445-1449, Vol. 75, No. 5
0099-2240/09/$08.00+0 doi:10.1128/AEM.02039-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.
,
University of Southern California, Department of Molecular and Computational Biology, 1050 Childs Way MCB 201B, Los Angeles, California 90089-2910,1 University of Southern California, Department of Geobiology, 835 W. 37th St. SHS 562, Los Angeles, California 90089,2 University of Southern California, Department of Environmental Engineering, 835 W. 37th St. SHS 562, Los Angeles, California 90089,3 Rice University, Department of Earth Science, MS-126, 6100 S. Main St., Houston, Texas 77005,4 University of Southern California, Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, OHE 430K, Los Angeles, California 90089-1453,5 University of Toronto, Faculty of Dentistry, Department of Oral Microbiology, 124 Edward St., Rm. 449A, Toronto, Ontario, Canada M5G 1G6,6 University of Southern California, Norris School of Dentistry, Division of Diagnostic Sciences, 925 W. 34th St. DEN 4108, Los Angeles, California 90089-06417
Received 2 September 2008/ Accepted 26 December 2008
|
|
|---|
|
|
|---|
Here, we describe the use of vertical scanning interferometry (VSI) to directly measure the surface profiles of both microbes and the surface beneath them. VSI, a rapid, noncontact, minimally invasive technology, combines reflected-light microscopy with Mirau interference optics, using the wave properties of light to precisely define a vertical dimension, with resolutions of <1 µm laterally and <1 nm vertically (12-14). Light reflected from the sample (returned as interferometric fringes) is converted into graphical data called a correlogram and analyzed for peaks to extrapolate the height (z dimension) for every pixel of an image, resulting in a topographical map of a surface (see Fig. S1 and S2 in the supplemental material).
Previously, we described bacterial imaging artifacts associated with light reflected from the surface beneath the bacteria (21). Expanding on techniques used to measure thin-film depth (16), we hypothesized that making minor changes in data acquisition and interpretation would allow us to use the light reflected from both the bacteria and their interface to (i) correct VSI imaging artifacts commonly seen when attempting to visualize bacteria on a surface and (ii) access a second set of fringes from the surface beneath a bacterium.
To evaluate imaging defects on a larger scale, the evaporating edges of several different water drops on mirror steel were scanned by VSI (Fig. 1). Correlogram analyses of a series of points along each drop, moving from deep to shallow, revealed five factors key to imaging interfaces though transparent particles: (i) two correlogram peaks were acquired for every pixel of the video where water covered the polished steel, versus one correlogram peak per pixel for dry polished steel; (ii) as the water depth decreased, so did the distance between the two peaks; (iii) if the amplitude of peak 1 was greater than that of peak 2, then the expected three-dimensional (3-D) image height was obtained, and if the amplitude of peak 1 was less than that of peak 2, then the 3-D image height was lower than expected; (iv) based on a known location of the steel, by using the first peak, the actual height of the water's surface was calculated; and (v) the second peak corresponded to the known location of the steel after correction for the known refractive index (see the supplemental material).
![]() View larger version (69K): [in a new window] |
FIG. 1. Measurement of the edge of a drop of water and its steel interface. Above the correlograms is a 3-D height map of the edge of a drop of water on polished steel, made using current software. Current software, clearly, has miscalculated the locations of points 3 to 5. Superimposed is a recalculation of the height of the water surface at all six points (displayed as red dots and a red line), based on the interpretation of the correlograms below. The black dots with the black line are the calculation of the location of the underlying steel surface after correction for the refractive index. Below are correlograms for the six points throughout the drop of water, moving from deep to shallow. These correlograms were used to calculate the depth of the water at each of the six points and the location of the steel. The black line in each correlogram represents the height of the steel after correction for the index of refraction. The measurements in red indicate the distance of the first peak from the steel surface, corresponding to the depth of the water at each of the six points. a.u., arbitrary units.
|
![]() View larger version (51K): [in a new window] |
FIG. 2. Comparison of VSI images of S. oneidensis MR-1 on steel that measure above and below a polished steel surface. (A) Comparison of images of a single MR-1 bacterium that measures both as a pit in the steel and as a bump on the steel by VSI (bottom panel) and measures normally under an environmental scanning electron microscope (ESEM) (top panel). (B) Comparison of correlograms for a bacterium that falsely measures as a pit and a bacterium that measures normally (as a bump). If the amplitude of peak 1 (red arrowheads) is smaller than that of peak 2 (black arrowheads), then the bacterium appears as a pit (left panel). If the amplitude of peak 1 is larger than that of peak 2, then the bacterium appears as a bump on the surface of the steel (right panel). In both the environmental scanning electron microscope and VSI images, two additional bacteria that appear normally are displayed to the left for comparison. a.u., arbitrary units.
|
![]() View larger version (63K): [in a new window] |
FIG. 3. Measurement of demineralizing or corrosive bacteria and their interface with a biologically relevant substrate. For all image sections, the left panels show overlapping 3-D measurements of bacteria made by VSI (top) and an atomic force microscope (AFM; bottom). The red arrowheads in both images mark the pixel where the correlogram (right) was acquired from a VSI scan. The red arrowheads to the right of the correlograms highlight the peak indicative of the bacterial surface. The black arrowheads highlight the peak indicative of the interface. (A) S. oneidensis MR-1 on calcite. The black arrowhead highlights the peak indicative of the calcite surface. (B) S. mutans UA159 on hydroxyapatite. The black arrowhead highlights the peak indicative of the hydroxyapatite surface. (C) Sulfate-reducing bacteria on steel. The black arrowhead highlights the peak indicative of the steel surface. a.u., arbitrary units.
|
Clearly, the ability to noninvasively study the microbe or particle-solid interface in real time has broad relevance, ranging from microbial ecology to medicine to material sciences and semiconductors. By understanding the nature of microbe-solid interface interactions, it may be possible to have an impact on processes such as microbially influenced corrosion, caused by sulfate-reducing bacteria that electrochemically corrode steel, or medical processes, such as the demineralization of tooth enamel by S. mutans lactic acid secretions (6, 9, 20). By directly visualizing real-time height changes in the microbe-mineral interface and refractive index changes to a bacterial population using modifications proposed in this study, we should be able to gain insight into the processes by which bacterial biofilms modify their interactive surfaces.
We thank the USC NanoBiophysics Core Facility for the use of the atomic force microscope.
Published ahead of print on 5 January 2009. ![]()
Supplemental material for this article may be found at http://aem.asm.org/. ![]()
|
|
|---|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2009 by the American Society for Microbiology. For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»