Two-dimensional trajectory analysis of the diatom Navicula sp. using a micro chamber

We describe a trajectory analysis of diatom cell locomotion by combining a micro chamber and two-dimensional position coordinate analysis. By shutting cells in a micro chamber, continuous microscopic observation of Navicula sp. cells was possible. The trajectory of each cell was visualized once every second by using position coordinate analysis although time resolution of previous papers were range of minutes. Our data revealed frequent change of movement direction. Furthermore, the correlation between the distances moved, the velocity, and the acceleration of the cells was discussed in detail.     

Two-dimensional trajectory analysis of the diatom Navicula sp. using a micro chamber

We describe a trajectory analysis of diatom cell locomotion by combining a micro chamber and two-dimensional position coordinate analysis. By shutting cells in a micro chamber, continuous microscopic observation of Navicula sp. cells was possible. The trajectory of each cell was visualized once every second by using position coordinate analysis although time resolution of previous papers were range of minutes. Our data revealed frequent change of movement direction. Furthermore, the correlation between the distances moved, the velocity, and the acceleration of the cells was discussed in detail.     

Whole cell segmentation in solid tissue sections.

BACKGROUND: Understanding the cellular and molecular basis of tissue development and function requires analysis of individual cells while in their tissue context. METHODS: We developed software to find the optimum border around each cell (segmentation) from two-dimensional microscopic images of intact tissue. Samples were labeled with a fluorescent cell surface marker so that cell borders were brighter than elsewhere. The optimum border around each cell was defined as the border with an average intensity per unit length greater that any other possible border around that cell, and was calculated using the gray-weighted distance transform. Algorithm initiation requiring the user to mark two points per cell, one approximately in the center and the other on the border, ensured virtually 100% correct segmentation. Thereafter segmentation was automatic. RESULTS: The method was highly robust, because intermittent labeling of the cell borders, diffuse borders, and spurious signals away from the border do not significantly affect the optimum path. Computer-generated cells with increasing levels of added noise showed that the approach was accurate provided the cell could be detected visually. CONCLUSIONS: We have developed a highly robust algorithm for segmenting images of surface-labeled cells, enabling accurate and quantitative analysis of individual cells in tissue.     

Radioisotopic Method for Measuring Cell Division Rates of Individual Species of Diatoms from Natural Populations

Silicon is an essential element for diatom frustule synthesis and is usually taken up only by dividing cells. With ⁶⁸Ge, a radioactive analog of Si, the cell cycle marker event of frustule formation was identified for individual species of diatom. The frequency of cells within a population undergoing this division event was estimated, and the cell division rate was calculated. In laboratory cultures, these rates of cell division and those calculated from changes in cell numbers were similar. By dual labeling with ⁶⁸Ge(OH)₄ and NaH¹⁴CO₃, rates of cell division and photosynthesis were coincidently measured for diatoms both in laboratory cultures and when isolated from natural populations in estuarine, offshore, and polar environments. These techniques permit the coupling between photosynthesis and cell division to be examined in situ for individual species of diatom.     

Observations on girdle bands during cell division in the diatom Stephanodiscus

The fate of old girdle bands and the formation of new bands in the centric diatom Stephanodiscus are discussed. The use of scanning electron microscopy is a great aid in such studies since it enables observation of complete cells and determination of the position and overlap of girdle bands. It appears that both parent girdle bands are lost during cell division and two new bands formed around each daughter cell.     

Detection of single fluorescent microtubules and methods for determining their dynamics in living cells

The ability to tag biological molecules fluorescently and to detect their distribution in living cells has promoted the study of cytoplasmic organization in general and microtubule dynamics in particular. The techniques that we have selected and developed allowed the determination of spatial and temporal changes of the microtubule network in living fibroblasts at the level of individual microtubules. We have employed two general approaches for determining pattern changes: direct video microscopy and photobleaching and subsequent observation. Direct observation of fluorescent microtubules by high-definition video microscopy provided good spatial resolution at several time points, but was limited to the less congested and thinner periphery of the cell. This approach was made possible by a relatively bright, photostable reporter, xrhodamine-tubulin, and showed that microtubules underwent rounds of assembly and disassembly from their ends. Bleaching and subsequent observation of lysed cells improved the signal to noise ratio by extracting soluble chromophore and permitted observations in congested areas, but was limited to a single time interval. This approach demonstrated that microtubule domains were replaced one by one and that turnover was most rapid at the cell periphery. Antibodies specific for nonbleached chromophore can be used to enhance the signal to noise ratio further or to extend spatial resolution by the use of immunoelectron microscopy. Direct video microscopy and photobleaching are two approaches to the study of dynamics that have complementary strengths and wide application to the biology of living cells.     

Fully automated and fast image analysis of autoradiographs with a TAS-Leitz. Determination of size,Feulgen fluorescence and grain counts of individual nuclei and their evaluation by a simplified cluster analysis

Summary A fully automatic analysis system based on television image analysis was developed to measure simultaneously three parameters in individual nuclei of microscopic autoradiographs prepared from mouse jejunal crypt cell squashes and ascites tumor cell smears: size, Feulgen fluorescence and reflection from silver grains. A dark light camera with an image intensified silicon tube (RCA-ISIT), an automatic scanning stage and an autofocus device were fitted to a Leitz-TAS microscope. The camera permitted localization of Feulgen stained nuclei and measurement of area and light intensity by means of incident of light fluorescence in the red. After automatic changes of the Opak-illuminator silver grains were determined by means of polarized incident light reflected from the grains in the blue. A 25 x oil objective (aperture 0.75) yielded sufficient resolution for measurements. The nadir between the proportions of labeled and unlabeled nuclei was calculated from the data of one specimen on a PDP-computer using a new algorithm based on the minimal variance of the logarithm of reflected light per nucleus. Labeling indices determined by visual grain counting and by automatic analysis of the autoradiographs were well correlated (r=0.87 to 0.92). Visual grain counts/nucleus and reflected light/nucleus correlated well when individual nuclei were compared (r=0.92 to 0.97) or means of labeled nuclei of various specimens prepared during a 5 year period (r=0.90 to 0.93). Quenching of nuclear Feulgen fluorescence was minimal. The optimal labeling range is 30–100 grain counts/nucleus. The time interval between measurements of two specimens was 25 min for a squash of approximately 350 crypt cells within a 3 mm× 3 mm field, and 20 min for a meandering scan with 1,000 ascites tumor cells.     

Fully automated and fast image analysis of autoradiographs with a TAS-Leitz. Determination of size, Feulgen fluorescence and grain counts of individual nuclei and their evaluation by a simplified cluster analysis

A fully automatic analysis system based on television image analysis was developed to measure simultaneously three parameters in individual nuclei of microscopic autoradiographs prepared from mouse jejunal crypt cell squashes and ascites tumor cell smears: size, Feulgen fluorescence and reflection from silver grains. A dark light camera with an image intensified silicon tube (RCA-ISIT), an automatic scanning stage and an autofocus device were fitted to a Leitz-TAS microscope. The camera permitted localization of Feulgen stained nuclei and measurement of area and light intensity by means of incident of light fluorescence in the red. After automatic changes of the Opak-illuminator silver grains were determined by means of polarized incident light reflected from the grains in the blue. A 25 X oil objective (aperture 0.75) yielded sufficient resolution for measurements. The nadir between the proportions of labeled and unlabeled nuclei was calculated from the data of one specimen on a PDP-computer using a new algorithm based on the minimal variance of the logarithm of reflected light per nucleus. Labeling indices determined by visual grain counting and by automatic analysis of the autoradiographs were well correlated (r = 0.87 to 0.92). Visual grain counts/nucleus and reflected light/nucleus correlated well when individual nuclei were compared (r = 0.92 to 0.97) or means of labeled nuclei of various specimens prepared during a 5 year period (r = 0.90 to 0.93). Quenching of nuclear Feulgen fluorescence was minimal. The optimal labeling range is 30-100 grain counts/nucleus. The time interval between measurements of two specimens was 25 min for a squash of approximately 350 crypt cells within a 3 mm X 3 mm field, and 20 min for a meandering scan with 1,000 ascites tumor cells.     

Characterization of a beta-D-(1-->3)-glucan from the marine diatom Chaetoceros mülleri by high-resolution magic-angle spinning NMR spectroscopy on whole algal cells

High-resolution magic-angle spinning (hr-MAS) NMR spectroscopy was used to record NMR spectra of a cell paste from the marine diatom Chaetoceros mülleri. This gave information on a cellular storage polysaccharide identified as a beta-D-(1-->3)-linked glucan, using hr-MAS one-dimensional 1H and 13C, two-dimensional 1H,1H-COSY and 13C,1H-correlation spectroscopy. The same structural information was deduced from the liquid state NMR data on the glucan extracted from C. mülleri. The extracted glucan proved to be a beta-D-(1-->3)-linked glucan with a degree of polymerization of 19 and a degree of beta-D-(1-->6) branching of 0.005. The hr-MAS spectrum of the diatom showed several nonglucan resonances in the carbohydrate region of the NMR spectrum (60-103 ppm) that were shown to be noncarbohydrate resonances by means of two-dimensional 13C,1H- and 1H,1H-correlated NMR data.     

PATTERNS OF CELL SIZE CHANGE IN A MARINE CENTRIC DIATOM: VARIABILITY EVOLVING FROM CLONAL ISOLATES1

Isolates of the centric diatom, Thalassiosira weissflogii Grun., were maintained in exponential growth under constant, favorable conditions for nearly 2 years. During this interval, each culture underwent periodic increases and decreases in mean cell size, a behavior predicted for diatom populations alternating between sexual and asexual reproduction, respectively. The overall patterns of cell size change displayed by each culture, however, were unique. The maximum size of newly enlarged cells varied among isolates and within a given isolate over time. Consequently, both the timing and rate of increase in mean cell size also varied despite the fact that the minimum average cell size obtained by the various cultures was relatively constant. The most consistent feature among the isolates was the rate of decrease in mean cell size, a value determined by the physical constraints of the diatom frustule during mitotic divisions. We hypothesize that the extent of the variability exhibited by these cultures results from the fact that an inherent feature of diatom populations is a constantly changing genetic composition.     

Linkage Mapping Identifies the Sex Determining Region as a Single Locus in the Pennate Diatom Seminavis robusta

The pennate diatom Seminavis robusta, characterized by an archetypical diatom life cycle including a heterothallic mating system, is emerging as a model system for studying the molecular regulation of the diatom cell and life cycle. One of its main advantages compared with other diatom model systems is that sexual crosses can be made routinely, offering unprecedented possibilities for forward genetics. To date, nothing is known about the genetic basis of sex determination in diatoms. Here, we report on the construction of mating type-specific linkage maps for S. robusta, and use them to identify a single locus sex determination system in this diatom. We identified 13 mating type plus and 15 mating type minus linkage groups obtained from the analysis of 463 AFLP markers segregating in a full-sib family, covering 963.7 and 972.2 cM, respectively. Five linkage group pairs could be identified as putative homologues. The mating type phenotype mapped as a monogenic trait, disclosing the mating type plus as the heterogametic sex. This study provides the first evidence for a genetic sex determining mechanism in a diatom.     

Resolving Cytosolic Diffusive States in Bacteria by Single-Molecule Tracking

The trajectory of a single protein in the cytosol of a living cell contains information about its molecular interactions in its native environment. However, it has remained challenging to accurately resolve and characterize the diffusive states that can manifest in the cytosol using analytical approaches based on simplifying assumptions. Here, we show that multiple intracellular diffusive states can be successfully resolved if sufficient single-molecule trajectory information is available to generate well-sampled distributions of experimental measurements and if experimental biases are taken into account during data analysis. To address the inherent experimental biases in camera-based and MINFLUX-based single-molecule tracking, we use an empirical data analysis framework based on Monte Carlo simulations of confined Brownian motion. This framework is general and adaptable to arbitrary cell geometries and data acquisition parameters employed in two-dimensional or three-dimensional single-molecule tracking. We show that, in addition to determining the diffusion coefficients and populations of prevalent diffusive states, the timescales of diffusive state switching can be determined by stepwise increasing the time window of averaging over subsequent single-molecule displacements. Time-averaged diffusion analysis of single-molecule tracking data may thus provide quantitative insights into binding and unbinding reactions among rapidly diffusing molecules that are integral for cellular functions.     

Individual cell sorting.

Current cell sorting machines do not preserve the individual identity of processed cells; after analysis, the cells are assigned to a subpopulation where they are pooled with other similar cells. This paper reports progress on a system that sorts cells individually to precise locations on a microscope slide and preserves them for further observation with a light microscope while recording flow measurement data for each cell. Various electronic and mechanical modifications to an existing sorting machine are described that increase drop placement accuracy and permit individual cell sorting.     

Growth and release of extracellular organic compounds by benthic diatoms depend on interactions with bacteria

Phototrophic epilithic biofilms harbour a distinct assemblage of heterotrophic bacteria, cyanobacteria and photoautotrophic algae. Secretion of extracellular polymeric substances (EPS) by these organisms and the physicochemical properties of the EPS are important factors for the development of the biofilms. We have isolated representative diatom and bacteria strains from epilithic biofilms of Lake Constance. By pairwise co-cultivating these strains we found that diatom growth and EPS secretion by diatoms may depend on the presence of individual bacteria. Similar results were obtained after addition of spent bacterial medium to diatom cultures, suggesting that soluble substances from bacteria have an impact on diatom physiology. While searching for putative bacterial signal substances, we found that concentrations of various dissolved free amino acids (DFAA) within the diatom cultures changed drastically during co-cultivation with bacteria. Further, the secretion of extracellular carbohydrates and proteins can be influenced by bacteria or their extracellular substances. We have performed mass spectrometric peptide mapping to identify proteins which are secreted when co-cultivating the diatom Phaeodactylum tricornutum Bohlin and Escherichia coli. The identified proteins are possibly involved in signalling, extracellular carbohydrate modification and uptake, protein and amino acid modification, and cell/cell aggregation of diatom and bacteria strains. Our data indicate that diatom-bacteria biofilms might be regulated by a complex network of chemical factors involving EPS, amino acid monomers and other substances. Thus interactions with bacteria can be considered as one of the main factors driving biofilm formation by benthic diatoms.     

Trajectory Data Analyses for Pedestrian Space-time Activity Study

It is well recognized that human movement in the spatial and temporal dimensions has direct influence on disease transmission^1-3. An infectious disease typically spreads via contact between infected and susceptible individuals in their overlapped activity spaces. Therefore, daily mobility-activity information can be used as an indicator to measure exposures to risk factors of infection. However, a major difficulty and thus the reason for paucity of studies of infectious disease transmission at the micro scale arise from the lack of detailed individual mobility data. Previously in transportation and tourism research detailed space-time activity data often relied on the time-space diary technique, which requires subjects to actively record their activities in time and space. This is highly demanding for the participants and collaboration from the participants greatly affects the quality of data⁴.Modern technologies such as GPS and mobile communications have made possible the automatic collection of trajectory data. The data collected, however, is not ideal for modeling human space-time activities, limited by the accuracies of existing devices. There is also no readily available tool for efficient processing of the data for human behavior study. We present here a suite of methods and an integrated ArcGIS desktop-based visual interface for the pre-processing and spatiotemporal analyses of trajectory data. We provide examples of how such processing may be used to model human space-time activities, especially with error-rich pedestrian trajectory data, that could be useful in public health studies such as infectious disease transmission modeling.The procedure presented includes pre-processing, trajectory segmentation, activity space characterization, density estimation and visualization, and a few other exploratory analysis methods. Pre-processing is the cleaning of noisy raw trajectory data. We introduce an interactive visual pre-processing interface as well as an automatic module. Trajectory segmentation⁵ involves the identification of indoor and outdoor parts from pre-processed space-time tracks. Again, both interactive visual segmentation and automatic segmentation are supported. Segmented space-time tracks are then analyzed to derive characteristics of one''s activity space such as activity radius etc. Density estimation and visualization are used to examine large amount of trajectory data to model hot spots and interactions. We demonstrate both density surface mapping⁶ and density volume rendering⁷. We also include a couple of other exploratory data analyses (EDA) and visualizations tools, such as Google Earth animation support and connection analysis. The suite of analytical as well as visual methods presented in this paper may be applied to any trajectory data for space-time activity studies.     

Regulation of polypeptide synthesis during Caulobacter development: two-dimensional gel analysis.

The gram-negative bacterium Caulobacter crescentus progresses through three distinct morphological transitions, including both motile and nonmotile cell types, during its cell cycle. Assessment of the extent of regulation of polypeptide synthesis during these transitions was carried out with two-dimensional gel electrophoresis of whole-cell extracts. Synchronous cells were pulse-labeled with 14C-amino acids for 10-min intervals throughout the entire 2-h cell cycle. The radioactively labeled polypeptides were analyzed by two-dimensional polyacrylamide gel electrophoresis. Autoradiograms resulting from fluorography of the second dimension provided the detection of approximately 1,000 unique spots. The 600 predominant polypeptide spots, representing approximately 40% of the coding capacity of Caulobacter deoxyribonucleic acid, were analyzed for major changes in their synthetic rates. Quantitation by densitometric scanning of individual polypeptide spots represented on the sequential fluorograms demonstrated significant changes in the temporal synthesis of 6% of the polypeptides. Extracts from asynchronous cells were fractionated to obtain total-membrane and deoxyribonucleic acid-binding polypeptide fractions. Subsequent electrophoresis of these cellular fractions revealed approximately 100 membrane polypeptides and 25 deoxyribonucleic acid-binding polypeptides. Eight of the regulated polypeptides were identified as membrane or deoxyribonucleic acid-binding proteins. The regulated polypeptides can be grouped into three main categories based on their interval of synthesis. The three categories are in direct correlation with the three distinct cell cycle stages. This analysis has also revealed a unique transition period in the cell cycle in which a significant proportion of gene expression is regulated.     

Heterogeneous transportation of alpha1B-adrenoceptor in living cells

The heterogeneous motion of alpha(1B)-adrenoceptor (alpha(1B)-AR) was visualized in living cells with BODIPY-labeled antagonist of AR by single molecule fluorescence microscopy at high spatial resolution. The moving trajectory was reconstructed by precise localization (better than 20 nm) with a least-square fit of a two-dimensional Gaussian point spread function to each single spot. Trajectory analysis revealed two apparent groups of movements: directed motion and hindered motion. The directed motion had speeds higher than 0.1 mum/s. The histogram of diffusion coefficients of the hindered motion showed distinction between the cell membrane and the cytoplasm: the diffusion coefficient was lower near the cell membrane than in the internal cytoplasm, suggesting that alpha(1B)-AR was located or trapped in different networks, which was consistent with the natural distribution of cytoskeleton in living cells. These results suggested that the heterogeneity in the motion of alpha(1B)-AR in living cell might be associated with different localizations of cell skeleton proteins in the cell, which could provide molecular insight of AR regulation in living cells.     

Noninvasive quality estimation of adherent mammalian cells for transplantation

The noninvasive quality estimation of adherent mammalian cells for transplantation is reviewed. The quality and heterogeneity of cells should be estimated before transplantation because cultured cells are not homogeneous but heterogeneous. The estimation of cell quality should be performed noninvasively because most protocols of regenerative medicine are autologous cell system. The differentiation level and contamination of other cell lineage could be estimated by two-dimensional cell morphology analysis and tracking using a conventional phase contrast microscope. The noninvasive determination of the laser phase shift of a cell using a phase-shifting laser microscope, which might be more noninvasive, and more useful than the atomic force microscope and digital holographic microscope, was carried out to determine the three-dimensional cell morphology, and the estimation of the cell cycle phase of each adhesive cell and the mean proliferation activity of a cell population. Chemical analysis of the culture supernatant by conventional analytical methods such as ELISA was also useful to estimate the differentiation level of a cell population. Chemical analysis of cell membrane and intracellular components using a probe beam, an infrared beam, and Raman spectroscopy was useful for diagnosing the viability, apoptosis, and differentiation of each adhesive cell.