Centrifugation of bacterial cells on slide surface improves the spatial distribution, cell recovery and reduces the time of enumeration for fluorescence in situ hybridization

Fluorescence in situ hybridization (FISH), which is used for the enumeration of bacteria in various ecosystems including the human intestinal tract, has several limitations. One of the major problems encountered is the uneven distribution of bacterial cells on the slide surface, which increases the coefficient of variation between repetitions and thereby increase the time required for enumeration. In order to improve the spatial distribution, we designed a centrifugation device, which allows the direct centrifugation of bacterial cells onto the slide surface. Another problem is the loss of bacterial cells during the hybridization procedure. This leads to an underestimation of the true cell numbers in the sample. To overcome this problem we tested the use of silanized or chrome gelatine coated slides. Our study indicates that the use of the centrifugation device in conjunction with chrome gelatine coated slides highly improves the quality of enumeration data obtained by manual and automated microscopic counting and shortens the time of analysis.     

Three-dimensional volume reconstruction of extracellular matrix proteins in uveal melanoma from fluorescent confocal laser scanning microscope images

The distribution of looping patterns of laminin in uveal melanomas and other tumours has been associated with adverse outcome. Moreover, these patterns are generated by highly invasive tumour cells through the process of vasculogenic mimicry and are not therefore blood vessels. Nevertheless, these extravascular matrix patterns conduct plasma. The three‐dimensional (3D) configuration of these laminin‐rich patterns compared with blood vessels has been the subject of speculation and intensive investigation. We have developed a method for the 3D reconstruction of volume for these extravascular matrix proteins from serial paraffin sections cut at 4 µm thicknesses and stained with a fluorescently labelled antibody to laminin ( Maniotis et al., 2002 ). Each section was examined via confocal laser‐scanning focal microscopy (CLSM) and 13 images were recorded in the Z‐dimension for each slide. The input CLSM imagery is composed of a set of 3D subvolumes (stacks of 2D images) acquired at multiple confocal depths, from a sequence of consecutive slides. Steps for automated reconstruction included (1) unsupervised methods for selecting an image frame from a subvolume based on entropy and contrast criteria, (2) a fully automated registration technique for image alignment and (3) an improved histogram equalization method that compensates for spatially varying image intensities in CLSM imagery due to photo‐bleaching. We compared image alignment accuracy of a fully automated method with registration accuracy achieved by human subjects using a manual method. Automated 3D volume reconstruction was found to provide significant improvement in accuracy, consistency of results and performance time for CLSM images acquired from serial paraffin sections.     

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%.     

Perceptual clustering for automatic hotspot detection from Ki‐67‐stained neuroendocrine tumour images

Hotspot detection plays a crucial role in grading of neuroendocrine tumours of the digestive system. Hotspots are often detected manually from Ki‐67‐stained images, a practice which is tedious, irreproducible and error prone. We report a new method to segment Ki‐67‐positive nuclei from Ki‐67‐stained slides of neuroendocrine tumours. The method combines minimal graph cuts along with the multistate difference of Gaussians to detect the individual cells from images of Ki‐67‐stained slides. It, then, automatically defines the composite function, which is used to determine hotspots in neuroendocrine tumour slide images. We combine modified particle swarm optimization with message passing clustering to mimic the thought process of the pathologist during hotspot detection in neuroendocrine tumour slide images. The proposed method was tested on 55 images of size 10 × 5 K and resulted in an accuracy of 94.60%. The developed methodology can also be part of the workflow for other diseases such as breast cancer and glioblastomas.     

Automated magnification calibration in transmission electron microscopy using Fourier analysis of replica images

The magnification factor in transmission electron microscopy is not very precise, hampering for instance quantitative analysis of specimens. Calibration of the magnification is usually performed interactively using replica specimens, containing line or grating patterns with known spacing. In the present study, a procedure is described for automated magnification calibration using digital images of a line replica. This procedure is based on analysis of the power spectrum of Fourier transformed replica images, and is compared to interactive measurement in the same images. Images were used with magnification ranging from 1,000 x to 200,000 x. The automated procedure deviated on average 0.10% from interactive measurements. Especially for catalase replicas, the coefficient of variation of automated measurement was considerably smaller (average 0.28%) compared to that of interactive measurement (average 3.5%). In conclusion, calibration of the magnification in digital images from transmission electron microscopy may be performed automatically, using the procedure presented here, with high precision and accuracy.     

Application of ion etching to immunoscanning electron microscopy

A method for achieving both the light and electron microscopic observations of the same immunolabeled semithin section is described. Mild ion etching (IE) was performed on the semithin LR white resin sections of rat pancreas to evaluate conditions for scanning electron microscopic secondary electron image observations. Before immunocytochemical staining, very mild, rapid etching was conducted as follows: ionization voltage 300 V, operating vacuum 35 Pa, and etching time 1 min, employing an ion coater above sections on glass slides. The sections were immunohistochemically stained with anti-insulin and immunogold in association with silver enhancement techniques for light microscopic observation, in which B cells in pancreatic islets were positively stained brown. Subsequently, essential mild IE was performed over the stained section as follows: 350 V, 38 Pa, 29 min. The samples were coated with platinum for scanning electron microscopic secondary electron images, in which the cores of secretory granules of the B cells were positively labeled with gold-silver particles. The present method is suitable for detection of substances involving immunogold labeling. It enables us to obtain high-resolution images at low magnification that can be correlated with light microscopic observations. Middle to high magnifications are applicable for detailed observations with secondary electron imaging scanning electron microscopy.     

Investigations on the leaf surface ultrastructure in grapevine (Vitis vinifera L.) by scanning microscopy

Several Scanning microscopy techniques were used to investigate the leaf surface ultrastructure in the local “Razegui” grapevine cultivar (Vitis vinifera L.). Conventional scanning electron microscopy performed on glutaraldehyde‐fixed samples allowed observation of well‐preserved epidermal cells with an overlaying waxy layer. At a high magnification, the waxy layer exhibited crystalline projections in the form of horizontal and vertical platelets. Also, to avoid eventual ultrastructural alterations inherent in the use of solvents during sample preparation, fresh leaf blade samples were directly observed by environmental scanning electron microscopy. A classical image of convex living epidermal cells was observed. At 2400× magnification, epicuticular waxes exhibited a granular structure. However, high‐magnification images were not obtained with this device. The atomic force microscopy (AFM) performed on fresh leaf blade samples allowed observation of a textured surface and heterogeneous profiles attributed to epicuticular wax deposits. AFM topography images confirmed further, the presence of irregular crystalloid wax projections as multishaped platelets on the adaxial surface of grapevine leaf. SCANNING 31: 127–131, 2009. © 2009 Wiley Periodicals, Inc.     

Use of an automated image analyser to quantitate cellular hyperplasia in urinary bladder epithelium.

The feasibility of using an automated image analyser to evaluate quantitatively hyperplasia caused by N-butyl-N-(4-hydroxybutyl) nitrosamine in bladder epithelium was studied. The number of cells per unit length of epithelium was counted manually, and compared with automated measurements of: (1) the number of nuclei, (2) the number of positive tangents to the lower edge of nuclei, (3) the nuclear cross-sectional area, and (4) the epithelial cross-sectional area per unit length respectively. Regression of each of the automated measurements on the manual counts all revealed close linear relationships with correlation coefficients in excess of 0-9. Coefficients of variation for repetitive automated measurements were less than or equal to 0-06 in each of the four modes. The automated system resulted in a great saving in time over manual counting. It is concluded that the automated image analyser provides an accurate, precise, and efficient tool for estimating epithelial cell numbers in normal and hyperplastic bladder epithelia.     

Automated signal pattern evaluation of a bladder cancer specific multiprobe-fish assay applying a user-trainable workstation

OBJECTIVE: Signal pattern enumeration of Urovysion Fluorescence in Situ Hybridization test is tedious and requires great experience. Our aim was to eliminate human interaction by automating the process, using an adoptable, automated image acquisition, and analysis system. METHODS: For extensive analytical analysis control, cell populations were used, while preliminary clinical study was performed on 21 patients with clinical suspicion for bladder cancer. All investigations were carried out using an automated user‐trainable workstation (Metafer4‐Metacyte). RESULTS: The system identified nuclei with a specificity and sensitivity of 92.7 and 96.6%, respectively, while signal detection accuracy was 81.1% on average. Both analytical and diagnostic accuracy of automated analysis was comparable to manual approach (94.8 and 71% vs. 97.9 and 76%, respectively), but classification accuracy increased with degree of polysomy, thus diagnostic sensitivity in low grade, low stage cases was poor. CONCLUSION: It is possible to automate signal enumeration of Urovysion using a user‐trainable system, and achieve efficiency comparable to manual analysis. Previously introduced automated immunophenotypic targeting should further increase diagnostic sensitivity, while resulting in a comprehensively automated method. However, the problem of reduced detection accuracy in cases featured with low polysomy is likely to remain a great challenge of automated signal enumeration. Microsc. Res. Tech. 75:814–820, 2012. © 2011 Wiley Periodicals, Inc.     

An automated slide scanning system for membrane filter imaging in diagnosis of urogenital schistosomiasis

Traditionally, automated slide scanning involves capturing a rectangular grid of field-of-view (FoV) images which can be stitched together to create whole slide images, while the autofocusing algorithm captures a focal stack of images to determine the best in-focus image. However, these methods can be time-consuming due to the need for X-, Y- and Z-axis movements of the digital microscope while capturing multiple FoV images. In this paper, we propose a solution to minimise these redundancies by presenting an optimal procedure for automated slide scanning of circular membrane filters on a glass slide. We achieve this by following an optimal path in the sample plane, ensuring that only FoVs overlapping the filter membrane are captured. To capture the best in-focus FoV image, we utilise a hill-climbing approach that tracks the peak of the mean of Gaussian gradient of the captured FoVs images along the Z-axis. We implemented this procedure to optimise the efficiency of the Schistoscope, an automated digital microscope developed to diagnose urogenital schistosomiasis by imaging Schistosoma haematobium eggs on 13 or 25 mm membrane filters. Our improved method reduces the automated slide scanning time by 63.18% and 72.52% for the respective filter sizes. This advancement greatly supports the practicality of the Schistoscope in large-scale schistosomiasis monitoring and evaluation programs in endemic regions. This will save time, resources and also accelerate generation of data that is critical in achieving the targets for schistosomiasis elimination.     

An improved method for collecting and staining microorganisms for enumeration by fluorescence light microscopy

A rapid, robust method for the enumeration of total and viable microorganisms is described. A method using specific stains for viable and total cells and fluorescence light microscopy on membrane filters had been previously developed, but was sub-optimal in that some non-specific staining of the filters occurred and the filters were not flat enough for automatic image analysis methods to be employed, because not all cells in a field of view were in focus simultaneously. A new membrane filter has recently become available: the Anopore? membrane was described by the manufacturers as having a number of properties which would overcome these limitations. These include inorganic construction (giving resistance to solvents), high porosity (giving high flow rates), low surface adsorption (giving low background staining) and inherent hydrophilicity (simplifying wetting with aqueous solutions). Anopore membrane filters were found to produce very high contrast images of bacteria stained with ethidium bromide. Even with a relatively low power (magnification = 40) dry objective, these images could be easily thresholded for image analysis using only grey-level information. The methods developed here are considered to be a suitable basis for a fully automated procedure for the enumeration of total microbial populations.     

Light,scanning, and transmission electron microscopy of a single population of detergent-extracted cardiac myocytes in vitro

A technique for performing light, scanning, and transverse transmission electron microscopy on cultured cells grown within a single tissue culture flask is described. Permanent light microscopy slides are obtained by removing selected portions of the plastic tissue culture vessel and mounting them on glass slides with an aqueous mounting solution. The images obtained from these slides are superior to viewing through the bottom of the flask with an inverted stage microscope. For scanning electron microscopy, selected areas are also cut from the remainder of the vessel and prepared for viewing. The final portion of the culture container is transferred and attached to a new tissue culture vessel and prepared for transmission electron microscopy using alcohol instead of acetone and propylene oxide during dehydration, infiltration, and embedding.     

Mosaicing of microscope images with global geometric and radiometric corrections

Image mosaicing has found a number of applications such as panoramic imaging, digital terrain mapping, ophthalmology and virtual microscopy. In this study, we present an automated mosaicing technique for generating virtual slides from microscope images. We carried out robust image feature matching and global geometric and radiometric parameter estimation. The input images were transformed using the estimated geometric and radiometric parameters and mosaiced together, producing accurate registration of overlapping regions without visible seams.     

A precise stage arrangement for correlative microscopy for specimens mounted on glass slides,stubs or EM grids

The instrumentation necessary for precise and fast correlation of images derived from a light optical microscope (LM) and a scanning electron microscope (SEM) operated in the reflective mode, is described. The specimens can be mounted on standard microscope slides (25 × 75 mm), SEM-stubs (12 mm ø), or on transmission EM grids (3 mm ø). The instrumentation consists of two parts: an attachable precision stage for an LM, and an attachable slide carrier for the stage of an SEM. By taking into account the vernier readings of the stages of both microscopes (LM and SEM), identical particles in a specimen can be found instantaneously under either microscope. Therefore it is concluded that the use of this instrumentation in correlative microscopy (LM → SEM → LM) is time saving, and especially recommended on fragile biological specimens, which may deteriorate rapidly under the electron beam of an SEM.     

Mechanical scanning of the specimen in the scanning electron microscope

A scanning electron microscope (SEM) system equipped with a motor drive specimen stage fully controlled with a personal computer (PC) has been utilized for obtaining ultralow magnification SEM images. This modem motor drive stage works as a mechanical scanning device. To produce ultra-low magnification SEM images, we use a successful combination of the mechanical scanning, electronic scanning, and digital image processing techniques. This new method is extremely labor and time saving for ultra-low magnification and wide-area observation. The option of ultra-low magnification observation (while maintaining the original SEM functions and performance) is important during a scanning electron microscopy session.     

A new method based on image analysis for determining cyanobacterial biomass by CLSM in stratified benthic sediments

Cyanobacteria are the dominant primary producers in microbial mats, which are stratified benthic microbial ecosystems found in coastal environments. Some cyanobacteria form long filaments, which make difficult to apply classical methods to estimate their biomass because they establish strong interactions with detritic particles. In a previous study, we described a method for determining cyanobacterial biomass by means of confocal laser scanning microscopy (CLSM). However, the manual method used, based on summa projection images, was difficult to apply when analyzing a large number of samples. In this paper, we described a new automated method, based on stacks and applying the plugin voxel counter in the ImageJ analysis system, more adequate for obtaining biomass data quickly from a large number of CLSM images.     

A cleaning method ensuring recovery of delicate freeze-fracture replicas of cereal leaf cells

Normal human leucocytes, successively treated with glutaraldehyde-tannic acid-osmium tetroxide-thiocarbohydrazide-osmium tetroxide-thiocarbohydrazide-osmium tetroxide, were prepared for scanning electron microscopy observation. These cells produced well-contrasted, non-charging scanning images compatible with metal-evaporated material. Further, the mononuclear and polymorphonuclear cells resisted shrinkage during dehydration and critical point drying, thus allowing much improved images at high magnification than those covered with evaporated metal. In all cases at least a second thiocarbohydrazide-osmium tetroxide treatment could not be avoided.     

Labelling quality and chromosome morphology after low temperature FISH analysed by scanning far-field and near-field optical microscopy

A non‐enzymatic, low temperature fluorescence in situ hybridization (LTFISH) procedure was applied to metaphase spreads and interphase cell nuclei. In this context ‘low temperature’ means that the denaturation procedure of the chromosomal target DNA usually applied by heat treatment and chaotropic agents such as formamide was completely omitted so that the complete hybridization reaction took place at 37 °C. For LTFISH, the DNA probe had to be single‐stranded, which was achieved by means of separate thermal denaturation of the DNA probe only. The DNA probe pUC1.77 was used for all LTFISH experiments. The labelling quality (number of binding sites, relative background intensity, relative intensity of major and minor binding sites) was analysed by confocal laser scanning microscopy (CLSM). An optimum in specificity and signal quality was obtained for 15 h hybridization time. For this hybridization condition of LTFISH, the chromosomal morphology was analysed by scanning near‐field optical microscopy (SNOM). The results were compared with the morphology of chromosomes after (a) labelling of all centromeres using the same chemical treatment in the FISH procedure but with the application of target denaturation, and (b) labelling of all centromeres using a standard FISH protocol including thermal denaturation of the DNA probe and the chromosomal target. Depending on the FISH‐procedure applied, SNOM images show substantial differences in the chromosome morphology. After LTFISH the chromosome morphology appeared to be much better preserved than after standard FISH. In contrast, the application of the LTFISH chemical treatment accompanied by heat denaturation had a very destructive influence on chromosomal morphology. The results indicate that, at least for certain DNA probes, specific chromosome labelling can be obtained without the usually applied heat and chemical denaturation of the DNA target, resulting in an apparently well preserved chromatin morphology as visualized by SNOM. LTFISH may be therefore a useful labelling technique whenever the chromosomal morphology had to be preserved after specific labelling of DNA regions. Binding mechanisms of single‐stranded DNA probes to double‐stranded DNA targets are discussed.     

Semi-automated imaging system to quantitate estrogen and progesterone receptor immunoreactivity in human breast cancer

A semi‐automated imaging system is described to quantitate estrogen and progesterone receptor immunoreactivity in human breast cancer. The system works for any conventional method of image acquisition using microscopic slides that have been processed for immunohistochemical analysis of the estrogen receptor and progesterone receptor. Estrogen receptor and progesterone receptor immunohistochemical staining produce colorimetric differences in nuclear staining that conventionally have been interpreted manually by pathologists and expressed as percentage of positive tumoral nuclei. The estrogen receptor and progesterone receptor status of human breast cancer represent important prognostic and predictive markers of human breast cancer that dictate therapeutic decisions but their subjective interpretation result in interobserver, intraobserver and fatigue variability. Subjective measurements are traditionally limited to a determination of percentage of tumoral nuclei that show positive immunoreactivity. To address these limitations, imaging algorithms utilizing both colorimetric (RGB) as well as intensity (gray scale) determinations were used to analyze pixels of the acquired image. Image acquisition utilized either scanner or microscope with attached digital or analogue camera capable of producing images with a resolution of 20 pixels /10 μ. Areas of each image were screened and the area of interest richest in tumour cells manually selected for image processing. Images were processed initially by JPG conversion of SVS scanned virtual slides or direct JPG photomicrograph capture. Following image acquisition, images were screened for quality, enhanced and processed. The algorithm‐based values for estrogen receptor and progesterone receptor percentage nuclear positivity both strongly correlated with the subjective measurements (intraclass correlation: 0.77; 95% confidence interval: 0.59, 0.95) yet exhibited no interobserver, intraobserver or fatigue variability. In addition the algorithms provided measurements of nuclear estrogen receptor and progesterone receptor staining intensity (mean, mode and median staining intensity of positive staining nuclei), parameters that subjective review could not assess. Other semi‐automated image analysis systems have been used to measure estrogen receptor and progesterone receptor immunoreactivity but these either have required proprietary hardware or have been based on luminosity differences alone. By contrast our algorithms were independent of proprietary hardware and were based on not just luminosity and colour but also many other imaging features including epithelial pattern recognition and nuclear morphology. These features provide a more accurate, versatile and robust imaging analysis platform that can be fully automated in the near future. Because of all these properties, our semi‐automated imaging system ‘adds value’ as a means of measuring these important nuclear biomarkers of human breast cancer.     

Identification of fat,protein matrix,and water/starch on microscopy images of sausages by a principal component analysis-based segmentation scheme

A color-based segmentation scheme applied to microscopy images of cryosectioned sausages is proposed. The segmentation scheme is capable of segmenting three different levels on the microscopy images: the fat particles, the protein matrix, and water/starch. The method is based on principal component analysis. A user-friendly program was developed for the manual segmentation of a selection of image pixels by microscopists. Principal component models based on the manually classified pixels are then used to segment fat, protein matrix, and starch/water on microscopy images. The program can also be used as a training tool for microscopists.