Michael Halter

Surface plasmon resonance imaging of cells and surface-associated fibronectin.

BackgroundA critical challenge in cell biology is quantifying the interactions of cells with their extracellular matrix (ECM) environment and the active remodeling by cells of their ECM. Fluorescence microscopy is a commonly employed technique for examining cell-matrix interactions. A label-free imaging method would provide an alternative that would eliminate the requirement of transfected cells and modified biological molecules, and if collected nondestructively, would allow long term observation and analysis of live cells.ResultsUsing surface plasmon resonance imaging (SPRI), the deposition of protein by vascular smooth muscle cells (vSMC) cultured on fibronectin was quantified as a function of cell density and distance from the cell periphery. We observed that as much as 120 ng/cm2 of protein was deposited by cells in 24 h.ConclusionSPRI is a real-time, low-light-level, label-free imaging technique that allows the simultaneous observation and quantification of protein layers and cellular features. This technique is compatible with live cells such that it is possible to monitor cellular modifications to the extracellular matrix in real-time.

A noninvasive thin film sensor for monitoring oxygen tension during in vitro cell culture.

Oxygen tension in mammalian cell culture can profoundly affect cellular differentiation, viability, and proliferation. However, precise measurement of dissolved oxygen in real time remains difficult. We report a new noninvasive sensor that can accurately measure oxygen concentration during cell culture while being compatible with live-cell imaging techniques such as fluorescence and phase contrast microscopy. The sensor is prepared by integrating the porphyrin dye, Pt(II) meso-tetrakis(pentafluorophenyl)porphine (PtTFPP) into polydimethylsiloxane (PDMS) thin films. Response of the sensor in the presence of oxygen can be characterized by the linear Stern-Volmer relationship with high sensitivity (K(SV) = 584 +/- 71 atm(-1)). A multilayer sensor design, created by sandwiching the PtTFPP-PDMS with a layer of Teflon AF followed by a second PDMS layer, effectively mitigates against dye cytotoxicity while providing a substrate for cell attachment. Using this sensor, changes in oxygen tension could be monitored in real-time as attached cells proliferated. The oxygen tension was found to decrease due to oxygen consumption by the cells, and the data could be analyzed using Ficks law to obtain the per-cell oxygen consumption rate. This sensor is likely to enable new studies on the effects of dissolved oxygen on cellular behavior.

Comparison of Segmentation Algorithms For Fluorescence Microscopy Images of Cells

The analysis of fluorescence microscopy of cells often requires the determination of cell edges. This is typically done using segmentation techniques that separate the cell objects in an image from the surrounding background. This study compares segmentation results from nine different segmentation techniques applied to two different cell lines and five different sets of imaging conditions. Significant variability in the results of segmentation was observed that was due solely to differences in imaging conditions or applications of different algorithms. We quantified and compared the results with a novel bivariate similarity index metric that evaluates the degree of underestimating or overestimating a cell object. The results show that commonly used threshold‐based segmentation techniques are less accurate than k‐means clustering with multiple clusters. Segmentation accuracy varies with imaging conditions that determine the sharpness of cell edges and with geometric features of a cell. Based on this observation, we propose a method that quantifies cell edge character to provide an estimate of how accurately an algorithm will perform. The results of this study will assist the development of criteria for evaluating interlaboratory comparability. Published 2011 Wiley‐Liss, Inc.

Automated live cell imaging of green fluorescent protein degradation in individual fibroblasts.

To accurately interpret the data from fluorescent proteins as reporters of gene activation within living cells, it is important to understand the kinetics of the degradation of the reporter proteins. We examined the degradation kinetics over a large number (>1,000) of single, living cells from a clonal population of NIH3T3 fibroblasts that were stably transfected with a destabilized, enhanced green fluorescent protein (eGFP) reporter driven by the tenascin‐C promoter. Data collection and quantification of the fluorescence protein within a statistically significant number of individual cells over long times (14 h) by automated microscopy was facilitated by culturing cells on micropatterned arrays that confined their migration and allowed them to be segmented using phase contrast images. To measure GFP degradation rates unambiguously, protein synthesis was inhibited with cycloheximide. Results from automated live cell microscopy and image analysis indicated a wide range of cell‐to‐cell variability in the GFP fluorescence within individual cells. Degradation for this reporter was analyzed as a first order rate process with a degradation half‐life of 2.8 h. We found that GFP degradation rates were independent of the initial intensity of GFP fluorescence within cells. This result indicates that higher GFP abundance in some cells is likely due to higher rates of gene expression, because it is not due to systematically lower rates of protein degradation. The approach described in this study will assist the quantification and understanding of gene activity within live cells using fluorescent protein reporters. Published 2007 Wiley‐Liss, Inc.

Using surface plasmon resonance imaging to probe dynamic interactions between cells and extracellular matrix

Spatially resolved details of the interactions of cells with a fibronectin modified surface were examined using surface plasmon resonance imaging (SPRI). SPRI is a label‐free technique that is based on the spatial measurement of interfacial refractive index. SPRI is sensitive to short range interactions between cells and their substratum. The high contrast in SPR signal between cell edges and substratum facilitates identification of cell edges and segmentation of cell areas. With this novel technique, we demonstrate visualization of cell‐substratum interactions, and how cell‐substratum interactions change over time as cells spread, migrate, and undergo membrane ruffling. Published 2010 Wiley‐Liss, Inc.

High resolution surface plasmon resonance imaging for single cells

BackgroundSurface plasmon resonance imaging (SPRI) is a label-free technique that can image refractive index changes at an interface. We have previously used SPRI to study the dynamics of cell-substratum interactions. However, characterization of spatial resolution in 3 dimensions is necessary to quantitatively interpret SPR images. Spatial resolution is complicated by the asymmetric propagation length of surface plasmons in the x and y dimensions leading to image degradation in one direction. Inferring the distance of intracellular organelles and other subcellular features from the interface by SPRI is complicated by uncertainties regarding the detection of the evanescent wave decay into cells. This study provides an experimental basis for characterizing the resolution of an SPR imaging system in the lateral and distal dimensions and demonstrates a novel approach for resolving sub-micrometer cellular structures by SPRI. The SPRI resolution here is distinct in its ability to visualize subcellular structures that are in proximity to a surface, which is comparable with that of total internal reflection fluorescence (TIRF) microscopy but has the advantage of no fluorescent labels.ResultsAn SPR imaging system was designed that uses a high numerical aperture objective lens to image cells and a digital light projector to pattern the angle of the incident excitation on the sample. Cellular components such as focal adhesions, nucleus, and cellular secretions are visualized. The point spread function of polymeric nanoparticle beads indicates near-diffraction limited spatial resolution. To characterize the z-axis response, we used micrometer scale polymeric beads with a refractive index similar to cells as reference materials to determine the detection limit of the SPR field as a function of distance from the substrate. Multi-wavelength measurements of these microspheres show that it is possible to tailor the effective depth of penetration of the evanescent wave into the cellular environment.ConclusionWe describe how the use of patterned incident light provides SPRI at high spatial resolution, and we characterize a finite limit of detection for penetration depth. We demonstrate the application of a novel technique that allows unprecedented subcellular detail for SPRI, and enables a quantitative interpretation of SPRI for subcellular imaging.

Predicting rates of cell state change caused by stochastic fluctuations using a data-driven landscape model

We develop a potential landscape approach to quantitatively describe experimental data from a fibroblast cell line that exhibits a wide range of GFP expression levels under the control of the promoter for tenascin-C. Time-lapse live-cell microscopy provides data about short-term fluctuations in promoter activity, and flow cytometry measurements provide data about the long-term kinetics, because isolated subpopulations of cells relax from a relatively narrow distribution of GFP expression back to the original broad distribution of responses. The landscape is obtained from the steady state distribution of GFP expression and connected to a potential-like function using a stochastic differential equation description (Langevin/Fokker–Planck). The range of cell states is constrained by a force that is proportional to the gradient of the potential, and biochemical noise causes movement of cells within the landscape. Analyzing the mean square displacement of GFP intensity changes in live cells indicates that these fluctuations are described by a single diffusion constant in log GFP space. This finding allows application of the Kramers’ model to calculate rates of switching between two attractor states and enables an accurate simulation of the dynamics of relaxation back to the steady state with no adjustable parameters. With this approach, it is possible to use the steady state distribution of phenotypes and a quantitative description of the short-term fluctuations in individual cells to accurately predict the rates at which different phenotypes will arise from an isolated subpopulation of cells.

Cell volume distributions reveal cell growth rates and division times

A population of cells in culture displays a range of phenotypic responses even when those cells are derived from a single cell and are exposed to a homogeneous environment. Phenotypic variability can have a number of sources including the variable rates at which individual cells within the population grow and divide. We have examined how such variations contribute to population responses by measuring cell volumes within genetically identical populations of cells where individual members of the population are continuously growing and dividing, and we have derived a function describing the stationary distribution of cell volumes that arises from these dynamics. The model includes stochastic parameters for the variability in cell cycle times and growth rates for individual cells in a proliferating cell line. We used the model to analyze the volume distributions obtained for two different cell lines and one cell line in the absence and presence of aphidicolin, a DNA polymerase inhibitor. The derivation and application of the model allows one to relate the stationary population distribution of cell volumes to extrinsic biological noise present in growing and dividing cell cultures.

Evaluating the performance of fibrillar collagen films formed at polystyrene surfaces as cell culture substrates

While it is well-appreciated that the extracellular matrix plays a critical role in influencing cell responses, well-defined and reproducible presentation of extracellular matrix proteins poses a challenge for in vitro experiments. Films of type 1 collagen fibrils assembled on alkanethiolate monolayers formed at gold-coated surfaces have been shown to elicit a cellular response comparable to collagen gels, but with the advantages of excellent optical properties, and high reproducibility and robustness. To make this collagen matrix more accessible to laboratories that do not have access to gold film deposition the authors have examined the use of untreated polystyrene as a substrate for forming fibrillar collagen films. Direct comparison of films of fibrillar collagen fibrils formed at polystyrene with those formed at alkanethiolate monolayers indicates that films of collagen formed on these two surfaces compare very favorably to one another, both in their supramolecular structural characteristics as well as in the cell response that they elicit. Both substrates exhibit a dense covering of fibrils approximately 200 nm in diameter. The spreading of fibroblasts and activation of the tenascin-C gene promoter are statistically equivalent as determined by a metric derived from the D-statistic normally used in the Kolmogorov-Smirnov statistical test. The results of this study suggest that biologically relevant, robust thin films of collagen fibrils can be formed in any laboratory in untreated polystyrene dishes and multi-well polystyrene plates.

Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells

We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are physically in contact with each other. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell counting, tracking and lineage modelling in cell biology. The segmentation method presented in this paper consists of (1) background reconstruction to obtain noise‐free foreground pixels and (2) incorporation of biological insight about dividing and nondividing cells into the segmentation process to achieve reliable separation of foreground pixels defined as pixels associated with individual cells. The segmentation results for a time‐lapse image stack were compared against 238 manually segmented images (8219 cells) provided by experts, which we consider as reference data. We chose two metrics to measure the accuracy of segmentation: the ‘Adjusted Rand Index’ which compares similarities at a pixel level between masks resulting from manual and automated segmentation, and the ‘Number of Cells per Field’ (NCF) which compares the number of cells identified in the field by manual versus automated analysis. Our results show that the automated segmentation compared to manual segmentation has an average adjusted rand index of 0.96 (1 being a perfect match), with a standard deviation of 0.03, and an average difference of the two numbers of cells per field equal to 5.39% with a standard deviation of 4.6%.