Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy

MOTIVATION: Automated identification of cell cycle phases captured via fluorescent microscopy is very important for understanding cell cycle and for drug discovery. In this article, we propose a novel cell detection method that utilizes both the intensity and shape information of the cell for better segmentation quality. In contrast to conventional off-line learning algorithms, an Online Support Vector Classifier (OSVC) is thus proposed, which removes support vectors from the old model and assigns new training examples weighted according to their importance to accommodate the ever-changing experimental conditions. RESULTS: We image three cell lines using fluorescent microscopy under different experiment conditions, including one treated with taxol. Then, we segment and classify the cell types into interphase, prophase, metaphase and anaphase. Experimental results show the effectiveness of the proposed system in image segmentation and cell phase identification. AVAILABILITY: The software and test datasets are available from the authors.     

Topology-based fluorescence image analysis for automated cell identification and segmentation

Cell segmentation refers to the body of techniques used to identify cells in images and extract biologically relevant information from them; however, manual segmentation is laborious and subjective. We present Topological Boundary Line Estimation using Recurrence Of Neighbouring Emissions (TOBLERONE), a topological image analysis tool which identifies persistent homological image features as opposed to the geometric analysis commonly employed. We demonstrate that topological data analysis can provide accurate segmentation of arbitrarily-shaped cells, offering a means for automatic and objective data extraction. One cellular feature of particular interest in biology is the plasma membrane, which has been shown to present varying degrees of lipid packing, or membrane order, depending on the function and morphology of the cell type. With the use of environmentally-sensitive dyes, images derived from confocal microscopy can be used to quantify the degree of membrane order. We demonstrate that TOBLERONE is capable of automating this task.     

Bayesian estimation for species identification in single-molecule fluorescence microscopy

In this article we describe a recursive Bayesian estimator for the identification of diffusing fluorophores using photon arrival-time data from a single spectral channel. We present derivations for all relevant diffusion and fluorescence models, and we use simulated diffusion trajectories and photon streams to evaluate the estimator's performance. We consider simplified estimation schemes that bin the photon counts within time intervals of fixed duration, and show that they can perform well in realistic parameter regimes. The latter results indicate the feasibility of performing identification experiments in real time. It will be straightforward to generalize our approach for use in more complicated scenarios, e.g., with multiple spectral channels or fast photophysical dynamics.     

Identification of gap junction blockers using automated fluorescence microscopy imaging

Gap junctions coordinate electrical signals and facilitate metabolic synchronization between cells. In this study, the authors have developed a novel assay for the identification of gap junction blockers using fluorescence microscopy imaging-based high-content screening technology. In the assay, the communication between neighboring cells through gap junctions was measured by following the redistribution of a fluorescent marker. The movement of calcein dye from dye-loaded donor cells to dye-free acceptor cells through gap junctions overexpressed on cell surface membranes was monitored using automated fluorescence microscopy imaging in a high-throughput compatible format. The fluorescence imaging technology consisted of automated focusing, image acquisition, image processing, and data mining. The authors have successfully performed a high-throughput screening of a 486,000- compound program with this assay, and they were able to identify false positives without additional experiments. Selective and pharmacologically interesting compounds were identified for further optimization.     

Analyzing proteome topology and function by automated multidimensional fluorescence microscopy

Temporal and spatial regulation of proteins contributes to function. We describe a multidimensional microscopic robot technology for high-throughput protein colocalization studies that runs cycles of fluorescence tagging, imaging and bleaching in situ. This technology combines three advances: a fluorescence technique capable of mapping hundreds of different proteins in one tissue section or cell sample; a method selecting the most prominent combinatorial molecular patterns by representing the data as binary vectors; and a system for imaging the distribution of these protein clusters in a so-called toponome map. By analyzing many cell and tissue types, we show that this approach reveals rules of hierarchical protein network organization, in which the frequency distribution of different protein clusters obeys Zipf's law, and state-specific lead proteins appear to control protein network topology and function. The technology may facilitate the development of diagnostics and targeted therapies.     

Confocal fluorescence microscopy in modern cell biology

Confocal fluorescence microscopy has become a major tool in modern cell biology. The paper explains the basic principles and especially the depth discrimination properties of confocal microscopy. An important application is described briefly and outlined with some figures. The paper concludes with remarks on features to be expected in the near future.     

Multiparametric cell cycle analysis by automated microscopy

Cell cycle analysis using flow cytometry (FC) to measure cellular DNA content is a common procedure in drug mechanism of action studies. Although this technique lends itself readily to cell lines that grow in suspension, adherent cell cultures must be resuspended in a cumbersome and potentially invasive procedure that normally involves trypsinization and mechanical agitation of monolayer cultures. High-content analysis (HCA), an automated microscopy-based technology, is well suited to analysis of monolayer cell cultures but provides intrinsically less accurate determination of cellular DNA content than does FC and thus is not the method of choice for cell cycle analysis. Using Cellomics's ArrayScan reader, the authors have developed a 4-color multiparametric HCA approach for cell cycle analysis of adherent cells based on detection of DNA content (4,6-diamidino-2-phenylindole [DAPI] fluorescence), together with the known cell cycle markers bromo-2-deoxyuridine (BrdU) incorporation, cyclin B1 expression, and histone H3 (Ser28) phosphorylation within a single cell population. Considering all 4 markers together, a reliable and accurate quantification of cell cycle phases was possible, as compared with flow cytometric analysis. Using this assay, specific cell cycle blocks induced by treatment with thymidine, paclitaxel, or nocodazole as test drugs were easily monitored in adherent cultures of U-2 OS osteosarcoma cells.     

Laser-assisted fluorescence microscopy for measuring cell membrane dynamics.

Membranes of living cells are characterized by laser-assisted fluorescence microscopy, in particular a combination of microspectrofluorometry, total internal reflection fluorescence microscopy (TIRFM), fluorescence lifetime imaging (FLIM) and Forster resonance energy transfer (FRET) spectroscopy. The generalized polarization (GP, characterizing a spectral shift which depends on the phase of membrane lipids) as well as the effective fluorescence lifetime (tau(eff)) of the membrane marker laurdan were revealed to be appropriate parameters for membrane stiffness and fluidity. GP decreased with temperature, but increased during cell growth and was always higher for the plasma membrane than for intracellular membranes. Microdomains of different fluorescence lifetimes tau(eff) were observed at temperatures above 30 degree C and disappeared during cell aging. Non-radiative energy transfer was used to detect laurdan selectively in close proximity to a molecular acceptor (DiI) and may present a possibility for measuring membrane dynamics in specific microenvironments.     

Detection of lipid domains in model and cell membranes by fluorescence lifetime imaging microscopy

The discovery that the lipids constituting the plasma membrane are not randomly distributed, but instead are able to form laterally segregated lipid domains with different properties has given hints how the formation of such lipid domains influences and regulates many processes occurring at the plasma membrane. While in model systems these lipid domains can be easily accessed and their properties studied, it is still challenging to determine the properties of cholesterol rich lipid domains, the so called “Rafts”, in the plasma membrane of living cells due to their small size and transient nature. One promising technique to address such issues is fluorescence lifetime imaging (FLIM) microscopy, as spatially resolved images make the visualization of the lateral lipid distribution possible, while at the same time the fluorescence lifetime of a membrane probe yields information about the bilayer structure and organization of the lipids in lipid domains and various properties like preferential protein-protein interactions or the enrichment of membrane probes. This review aims to give an overview of the techniques underlying FLIM probes which can be applied to investigate the formation of lipid domains and their respective properties in model membrane and biological systems. Also a short technical introduction into the techniques of a FLIM microscope is given.     

Quantifying molecular colocalization in live cell fluorescence microscopy

One of the most challenging tasks in microscopy is the quantitative identification and characterization of molecular interactions. In living cells this task is typically performed by fluorescent labeling of the interaction partners with spectrally distinct fluorophores and imaging in different color channels. Current methods for determining colocalization of molecules result in outcomes that can vary greatly depending on signal‐to‐noise ratios, threshold and background levels, or differences in intensity between channels. Here, we present a novel and quantitative method for determining the degree of colocalization in live‐cell fluorescence microscopy images for two and more data channels. Moreover, our method enables the construction of images that directly classify areas of high colocalization. (© 2013 WILEY‐VCH Verlag GmbH &Co. KGaA, Weinheim)     

Improved identification of methanogenic bacteria by fluorescence microscopy.

Methanogenic bacteria can be tentatively identified by fluorescence microscopy. This technique was improved by carefully selecting a series of excitation and barrier filters that matched the excitation and emission spectra of some unique coenzymes viz., F420 and F350, in methanogenic bacteria.     

Quantifying myosin light chain phosphorylation in single adherent cells with automated fluorescence microscopy

Background  

In anchorage dependent cells, myosin generated contractile forces affect events closely associated with adhesion such as the formation of stress fibers and focal adhesions, and temporally distal events such as entry of the cell into S-phase. As occurs in many signaling pathways, a phosphorylation reaction (in this case, phosphorylation of myosin light chain) is directly responsible for cell response. Western blotting has been useful in measuring intracellular phosphorylation events, but cells are lysed in the process of sample preparation for western blotting, and spatial information such as morphology, localization of the phosphorylated species, and the distribution of individual cell responses across the population is lost. We report here a reliable automated microscopy method for quantitative measurement of myosin light chain phosphorylation in adherent cells. This method allows us to concurrently examine cell morphology, cell-cell contact, and myosin light chain diphosphorylation in vascular smooth muscle cells.     

Improved identification of methanogenic bacteria by fluorescence microscopy.

Methanogenic bacteria can be tentatively identified by fluorescence microscopy. This technique was improved by carefully selecting a series of excitation and barrier filters that matched the excitation and emission spectra of some unique coenzymes viz., F420 and F350, in methanogenic bacteria.     

A Laplace mixture model for identification of differential expression in microarray experiments

Microarrays have become an important tool for studying the molecular basis of complex disease traits and fundamental biological processes. A common purpose of microarray experiments is the detection of genes that are differentially expressed under two conditions, such as treatment versus control or wild type versus knockout. We introduce a Laplace mixture model as a long-tailed alternative to the normal distribution when identifying differentially expressed genes in microarray experiments, and provide an extension to asymmetric over- or underexpression. This model permits greater flexibility than models in current use as it has the potential, at least with sufficient data, to accommodate both whole genome and restricted coverage arrays. We also propose likelihood approaches to hyperparameter estimation which are equally applicable in the Normal mixture case. The Laplace model appears to give some improvement in fit to data, though simulation studies show that our method performs similarly to several other statistical approaches to the problem of identification of differential expression.     

Concepts for nanoscale resolution in fluorescence microscopy

Spatio-temporal visualization of cellular structures by fluorescence microscopy has become indispensable in biology. However, the resolution of conventional fluorescence microscopy is limited by diffraction to about 180 nm in the focal plane and to about 500 nm along the optic axis. Recently, concepts have emerged that overcome the diffraction resolution barrier fundamentally. Formed on the basis of reversible saturable optical transitions, these concepts might eventually allow us to investigate hitherto inaccessible details within live cells.