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Posted: Jun 29, 2012

Stealthy microscopy method visualizes E. coli sub-cellular structure in 3D

(Nanowerk News) A sub-cellular world has been opened up for scientists to study E. coli and other tissues in new ways, thanks to a microscopy method that stealthily provides three-dimensional, high-quality images of the internal structure of cells without disturbing the specimen.
By combining a novel algorithm with a recently-developed add-on technique for commercial microscopes, researchers at the University of Illinois have created a fast, non-invasive 3D method for visualizing, quantifying, and studying cells without the use of fluorescence or contrast agents.
In a paper published online today in the journal PLoS ONE ("Visualizing Escherichia coli Sub-Cellular Structure Using Sparse Deconvolution Spatial Light Interference Tomography"), the researchers who developed the technique reported that they were able to use it to visualize the E. coli bacteria with a combination of speed, scale, and resolution unparalleled for a label-free method.
Comparison of a SLIM and dSLIT image of an E. coli cell
Comparison of a SLIM and dSLIT image of an E. coli cell. It can be seen that dSLIT reveals a helical sub-cellular structure which was not resolvable just using SLIM. The diameter of the cell is approximately 0.5 microns. (Image courtesy Mustafa Mir)
The method is based on a broadband interferometric technique known as Spatial Light Interference Microscopy (SLIM) that was designed by Beckman Institute researcher Gabriel Popescu as an add-on module to a commercial phase contrast microscope. SLIM is extremely fast and sensitive at multiple scales (from 200 nm and up) but, as a linear optical system, its resolution is limited by diffraction.
By applying a novel deconvolution algorithm to retrieve sub-diffraction limited resolution information from the fields measured by SLIM, Popescu and his fellow researchers were able to render tomographic images with a resolution beyond SLIM’s diffraction limits. They used the sparse reconstruction method to render 3D reconstructed images of E. coli cells, enabling label-free visualization of the specimens at sub-cellular scales.
Last year the researchers successfully demonstrated a new optical technique that provides 3D measures of complex fields called Spatial Light Interference Tomography (SLIT) on live neurons and photonic crystal structures. In this project they developed a novel algorithm to further extend the three-dimensional capabilities by performing deconvolution on the measured 3D field, based on modeling the image using sparsity principles. This microscopy capability, called dSLIT, was used to visualize coiled sub-cellular structures in E. coli cells.
The researchers said that these structures have only been observed using specialized strains and plasmids and fluorescence techniques, and usually on non-living cells. These new methods provide a practical way for non-invasive study of such structures.
Mustafa Mir is first author on the paper and member of Popescu’s Quantitative Light Imaging Laboratory at Beckman. Mir said that studying and understanding the three-dimensional internal structure of living cells is essential for furthering our understanding of biological function.
“Visualizing them is extremely challenging due to their small size and transparent nature,” Mir said. “This new method, however, provides a way to take advantage of the intrinsic properties of these very small, transparent cells non-invasively and without the use of fluorescence techniques and contrast agents.
“Previous studies have thus used extrinsic contrast such as fluorescence and specialized strains in combination with complex superresolution techniques for such studies. This will allow biologists to study sub-cellular structures while minimally perturbing the cell from its natural state.”
Fluorescence microscopy is commonly used in cell biology for high contrast imaging and labeling of cell structures; it also enables what are called superresolution methods that have provided transverse resolution in the 20 to 30 nm scale, but the method comes with limitations due to illumination intensity. Using confocal microscopy has added the element of three-dimensional imaging but with this and other techniques, the researchers point out in their paper, “only the amplitude (intensity) of the field is measured in all these methods.
“Here we show that if, instead of just measuring intensity, the complex field (i.e., phase and amplitude) is measured, the 3D reconstruction of the specimen structure can be obtained without the need for exogenous contrast agents.”
Measuring the phase shift that the specimen adds to the optical field at each point in the field of view is known as quantitative phase imaging, an imaging method for which Popescu developed the SLIM modality. It provides extremely sensitive phase measurements of thin, transparent structures such as the E. coli cells studied here.
The researchers wrote that the method addresses two major issues in cell microscopy: lack of contrast, due to the thin and optically transparent nature of cells, and diffraction limited resolution. They write that dSLIT’s ability to retrieve limited resolution information delivered by SLIM will give researchers a tool to study structures like E. coli cells in a completely new way, thereby providing novel insights into cellular function.
“Although several such structures have been previously identified, little is known about their function and behavior due to the practical difficulties involved in imaging them,” they concluded. “The results presented here indicate that dSLIT can be used to characterize and study such sub-cellular structure in a practical and non-invasive manner, opening the door for a more in depth understanding of the biology.”
“I believe this is a project that illustrates best the cross-pollination between different areas of expertise, which is so well nurtured at the Beckman Institute,” Popescu said. “We used a novel optical method in combination with advanced computer algorithms to tackle a problem of significance in biology.”
Source: University of Illinois
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