Quantifying MHC dextramer-induced NFAT activation in antigen-specific T cells as a functional response parameter

MHC-multimers are reagents used for the detection and enumeration of antigen-specific T cells (ASTs). These reagents exploit the mechanism by which T cell receptors (TCR) on cytotoxic CD8 T cells recognize specific antigens in the context of a major histocompatibility complex (MHC) molecule during antigen presentation. MHC-multimers are fluorescently-labeled dextran polymers that carry MHC Class I molecules and peptide sequences that can be modified to represent specific cognate sequences of the antigen of interest with dextramers having a 10-fold multiplicity of the MHC/peptide combination within a single multimer. Since the binding of antigen-specific dextramers mimics antigen presentation to the TCR, the present study sought to determine whether this TCR engagement on the AST was sufficient to elicit a functional T cell response. The effect of binding of CMV specific dextramers on the activation of the NFAT signal transduction cascade was assessed in peripheral blood from bone marrow transplant recipients previously determined to be positive for CMV-ASTs (CASTs). NFAT activation was quantified by measuring nuclear translocation of NFAT1 in CD8+ CASTs and CD8+ non-CASTs by imaging flow cytometry. Our results demonstrate that an increase in the nuclear localization of NFAT1 was detectable in the CASTs following the CMV-dextramer binding and could be observed as early as 10min post-exposure. The NFAT1 activation correlated with a downstream functional response in the form of interferon gamma production. Sample preparation, temperature, and duration of dextramer exposure were important parameters affecting the dextramer-induced NFAT activation with 2h exposure in whole blood at room temperature being the optimal of the conditions tested. Intra- and inter-individual heterogeneity was observed with regards to the NFAT activation in the CASTs. Importantly, no effect of the dextramers was observed in the CD8+ non-CASTs, and therefore dextramer negative cell populations. Exposure to PMA/ionomycin following dextramer exposure resulted in a homogeneous NFAT activation in both the dextramer-positive but NFAT1 nonresponsive CAST and non-CAST cells. Thus, the data demonstrate that binding of antigen-specific dextramers to ASTs specifically results in activation of NFAT, that the NFAT activation correlates with a downstream functional response and that the response can be heterogeneous. This functional parameter may provide insight to the issue whether enumeration alone of ASTs is a sufficient parameter to assess an individual's immune status against a specific antigen.

Application of image cytometry to characterize heterologous lipid flippases in yeast

Lipid flippases are integral membrane proteins that play a central role in moving lipids across cellular membranes. Some of these transporters are ATPases that couple lipid translocation to ATP hydrolysis, whereas others function without any discernible metabolic energy input. A growing number of lipid flippases has been identified but key features of their activity remain to be elucidated. A well-established method to characterize ATP-driven flippases is based on their heterologous expression in yeast, followed by incubation of the cells with fluorescent lipids. Internalization of these probes is typically monitored by flow cytometry, a costly and maintenance-intensive method. Here, we have optimized a protocol to use an automated image-based cell counter to accurately measure lipid uptake by heterologous lipid flippases expressed in yeast. The method was validated by comparison with the classical flow cytometric evaluation of lipid-labeled cells. In addition, we demonstrated that expression of fluorescently tagged flippase complexes can be directly co-related with fluorescent lipid uptake using the image-based cell counter system. The method extends the number of techniques available for characterization of lipid flippase activity, and should be readily adaptable to analyze a variety of other transport systems in yeast, parasites, and mammalian cells. © 2016 International Society for Advancement of Cytometry.

Implementation and application of a novel 2D magnetic twisting cytometry based on multi-pole electromagnet

We implemented a novel 2D magnetic twisting cytometry (MTC) based on a previously reported multi-pole high permeability electromagnet, in which both the strength and direction of the twisting field can be controlled. Thanks to the high performance twisting electromagnet and the heterodyning technology, the measurement frequency has been extended to the 1 kHz range. In order to obtain high remanence of the ferromagnetic beads, a separate electromagnet with feedback control was adopted for the high magnetic field polarization. Our setup constitutes the first instrument which can be operated both in MTC mode and in magnetic tweezers (MT) mode. In this work, the mechanical properties of HL-1 cardiomyocytes were characterized in MTC mode. Both anisotropy and log-normal distribution of cell stiffness were observed, which agree with our previous results measured in MT mode. The response from these living cells at different frequencies can be fitted very well by the soft glassy rheology model.

Mass Cytometry of the Human Mucosal Immune System Identifies Tissue- and Disease-Associated Immune Subsets

Inflammatory intestinal diseases are characterized by abnormal immune responses and affect distinct locations of the gastrointestinal tract. Although the role of several immune subsets in driving intestinal pathology has been studied, a system-wide approach that simultaneously interrogates all major lineages on a single-cell basis is lacking. We used high-dimensional mass cytometry to generate a system-wide view of the human mucosal immune system in health and disease. We distinguished 142 immune subsets and through computational applications found distinct immune subsets in peripheral blood mononuclear cells and intestinal biopsies that distinguished patients from controls. In addition, mucosal lymphoid malignancies were readily detected as well as precursors from which these likely derived. These findings indicate that an integrated high-dimensional analysis of the entire immune system can identify immune subsets associated with the pathogenesis of complex intestinal disorders. This might have implications for diagnostic procedures, immune-monitoring, and treatment of intestinal diseases and mucosal malignancies.

FlowCam: Quantification and Classification of Phytoplankton by Imaging Flow Cytometry

The ability to enumerate, classify, and determine biomass of phytoplankton from environmental samples is essential for determining ecosystem function and their role in the aquatic community and microbial food web. Traditional micro-phytoplankton quantification methods using microscopic techniques require preservation and are slow, tedious and very laborious. The availability of more automated imaging microscopy platforms has revolutionized the way particles and cells are detected within their natural environment. The ability to examine cells unaltered and without preservation is key to providing more accurate cell concentration estimates and overall phytoplankton biomass. The FlowCam(®) is an imaging cytometry tool that was originally developed for use in aquatic sciences and provides a more rapid and unbiased method for enumerating and classifying phytoplankton within diverse aquatic environments.

The Analysis of Cell Cycle, Proliferation, and Asymmetric Cell Division by Imaging Flow Cytometry

Measuring cellular DNA content by conventional flow cytometry (CFC) and fluorescent DNA-binding dyes is a highly robust method for analysing cell cycle distributions within heterogeneous populations. However, any conclusions drawn from single-parameter DNA analysis alone can often be confounded by the asynchronous nature of cell proliferation. We have shown that by combining fluorescent DNA stains with proliferation tracking dyes and antigenic staining for mitotic cells one can elucidate the division history and cell cycle position of any cell within an asynchronously dividing population. Furthermore if one applies this panel to an imaging flow cytometry (IFC) system then the spatial information allows resolution of the four main mitotic phases and the ability to study molecular distributions within these populations. We have employed such an approach to study the prevalence of asymmetric cell division (ACD) within activated immune cells by measuring the distribution of key fate determining molecules across the plane of cytokinesis in a high-throughput, objective, and internally controlled manner. Moreover the ability to perform high-resolution, temporal dissection of the cell division process lends itself perfectly to investigating the influence chemotherapeutic agents exert on the proliferative capacity of transformed cell lines. Here we describe the method in detail and its application to both ACD and general cell cycle analysis.

Quantitative Functional Morphology by Imaging Flow Cytometry

This chapter describes advantages and limitations of imaging flow cytometry (IFC) based on Imagestream instrumentation using a hybrid approach of morphometric measurement and quantitation of multiparametric fluorescent intensities' distribution in cells and particles. Brief comparison is given of IFC with conventional flow cytometry and fluorescent microscopy. Some future directions of the IFC technology are described and discussed.

Using Image-Based Flow Cytometry with a FISH-Based FlowRNA Assay to Simultaneously Detect Intracellular TNF-α Protein and mRNA in Monocytes Following LPS Stimulation

Existing methods of assessing monocyte inflammatory cytokine (IL-1β, IL-6, IL-8, and TNF-α) response to in vitro lipopolysaccharide (LPS) stimulation lack the ability to simultaneously detect intracellular mRNA and protein. This procedure takes advantage of new methodologies and instrumentation to simultaneously measure intracellular TNF-α mRNA and protein in CD14(+) monocytes after 1, 3, and 6 h of LPS stimulation. By assessing multiple timepoints, we are able to discern how LPS stimulation affects the temporal relationship between TNF-α mRNA and protein. By using image-based flow cytometry it is possible to co-localize mRNA and protein signals to identify the length of incubation that is needed to initiate protein translation.

Analysis of Nucleocytoplasmic Protein Shuttling by Imaging Flow Cytometry

Many intracellular signal transduction events involve the reversible shuttling of proteins between the cytoplasm and the nucleus. Study of these processes requires imaging information on the protein localization in a given cell and a large number of measurements to obtain sufficient statistics on the protein localization in the whole population. The protocol describes method for quantitative imaging flow cytometry analysis of intracellular distribution of NF-kappaB in ARPE-19 cells stained with specific fluorochrome-conjugated antibodies. The described technique alone or in combination with standard flow cytometry methods can be applied to study any protein undergoing translocation from cytoplasm into the nucleus in a variety of cell lines as well as in heterogeneous primary cell populations.

Accurate Assessment of Cell Death by Imaging Flow Cytometry

The number of investigators using cell death analysis applications has greatly expanded since the introduction of flow cytometry. The Annexin V/propidium iodide (PI) method is among the most commonly used procedures and allows users to determine if cells are viable, apoptotic, or necrotic, based on changes in membrane lipid composition, integrity, and permeability. Unfortunately, PI can intercalate into RNA, in addition to DNA, which contributes to a large number of events showing PI staining within the cytoplasmic compartment. We show that this occurs across a broad range of animal primary cells and commonly used cell lines, and is most prevalent in large cells (nuclear:cytoplasmic ratio <0.5). Any cellular system where RNA levels change throughout an experiment will be particularly affected, such as those that utilize virally infected cells. As two examples, we highlight our recent work on cells infected with vesicular stomatitis virus (VSV), an RNA virus, and herpes simplex virus-1 (HSV-1), a DNA virus. Similarly, these issues are relevant to experimental systems where cells have increased RNA content such as during genotoxic stress, following exposure to cell cycle arrest drugs such as thymidine or hydroxyurea, or where developmental progression promotes discrete changes in cellular RNA synthesis. This chapter outlines a modified Annexin V/PI method that addresses cytoplasmic RNA staining issues to allow for accurate assessment of cell death. This protocol takes advantage of an additional cellular permeability caused by fixation to promote RNase A entry into the cell. Based on our observations, cell morphological parameters are well maintained and less than 5 % of total cellular events exhibit cytoplasmic PI staining under this protocol.

Assessment of Natural Killer Cell Cytotoxicity Using Image Cytometry Method

Although natural killer (NK) cells produce various cytokines that regulate other lymphocytes of the immune system, the primary effector function of NK cells is the direct cytolysis of their targets. Hence analyzing the cytotoxic potential of these lymphocytes is fundamental to understanding their biology and their clinical impact. We have previously shown that release-based cytotoxicity assays, such as calcein release assay, could potentially underestimate percent specific lysis if the entrapped reporter is not completely released and demonstrated that an Image cytometry method can overcome this caveat. In this chapter, we describe a detailed methodology to quantitate NK cell cytotoxicity using the Cellometer Vision Image Cytometry system.

Applications of Imaging Flow Cytometry for Microalgae

The ability to image large numbers of cells at high resolution enhances flow cytometric analysis of cells and cell populations. In particular, the ability to image intracellular features adds a unique aspect to analyses, and can enable correlation between molecular phenomena resulting in alterations in cellular phenotype. Unicellular microalgae are amenable to high-throughput analysis to capture the diversity of cell types in natural samples, or diverse cellular responses in clonal populations, especially using imaging cytometry. Using examples from our laboratory, we review applications of imaging cytometry, specifically using an Amnis(®) ImageStream(®)X instrument, to characterize photosynthetic microalgae. Some of these examples highlight advantages of imaging flow cytometry for certain research objectives, but we also include examples that would not necessarily require imaging and could be performed on a conventional cytometer to demonstrate other concepts in cytometric evaluation of microalgae. We demonstrate the value of these approaches for (1) analysis of populations, (2) documentation of cellular features, and (3) analysis of gene expression.

Validation of the Cytokinesis-block Micronucleus Assay Using Imaging Flow Cytometry for High Throughput Radiation Biodosimetry

The cytokinesis-block micronucleus assay can be employed in triage radiation biodosimetry to determine the dose of radiation to an exposed individual by quantifying the frequency of micronuclei in binucleated lymphocyte cells. Partially automated analysis of the assay has been applied to traditional microscope-based methods, and most recently, the assay has been adapted to an automated imaging flow cytometry method. This method is able to automatically score a larger number of binucleated cells than are typically scored by microscopy. Whole blood samples were irradiated, divided into 2 mL and 200 μL aliquots, cultured for 48 h and 72 h, and processed to generate calibration curves from 0-4 Gy. To validate the method for use in radiation biodosimetry, nine separate whole blood samples were then irradiated to known doses, blinded, and processed. Results indicate that dose estimations can be determined to within ±0.5 Gy of the delivered dose after only 48 h of culture time with an initial blood volume of 200 μL. By performing the cytokinesis-block micronucleus assay using imaging flow cytometry, a significant reduction in the culture time and volume requirements is possible, which greatly increases the applicability of the assay in high throughput triage radiation biodosimetry.

An Emerging Approach for Parallel Quantification of Intracellular Protozoan Parasites and Host Cell Characterization Using TissueFAXS Cytometry

Characterization of host-pathogen interactions is a fundamental approach in microbiological and immunological oriented disciplines. It is commonly accepted that host cells start to change their phenotype after engulfing pathogens. Techniques such as real time PCR or ELISA were used to characterize the genes encoding proteins that are associated either with pathogen elimination or immune escape mechanisms. Most of such studies were performed in vitro using primary host cells or cell lines. Consequently, the data generated with such approaches reflect the global RNA expression or protein amount recovered from all cells in culture. This is justified when all host cells harbor an equal amount of pathogens under experimental conditions. However, the uptake of pathogens by phagocytic cells is not synchronized. Consequently, there are host cells incorporating different amounts of pathogens that might result in distinct pathogen-induced protein biosynthesis. Therefore, we established a technique able to detect and quantify the number of pathogens in the corresponding host cells using immunofluorescence-based high throughput analysis. Paired with multicolor staining of molecules of interest it is now possible to analyze the infection profile of host cell populations and the corresponding phenotype of the host cells as a result of parasite load.

Cryostat Slice Irregularities May Introduce Bias in Tissue Thickness Estimation: Relevance for Cell Counting Methods

Stereological techniques using the optical disectors require estimation of final section thickness, but frozen tissue irregularities may interfere with this estimation. Cryostat slices from rodent nerve tissues (dorsal root ganglia, spinal cord, and brain), cut at 16, 40, and 50 μm, were digitized with a confocal microscope and visualized through 3D software. Geometric section thickness of tissue (T geom) was defined as tissue volume/area. Maximal section thicknesses (T max), from the top to the bottom of the section, were measured in a random sample of vertical ZX planes. Irregularities were mostly related to blood vessels traversing the tissue and neuronal somas protruding over the cut surfaces, with other neuron profiles showing a fragmented appearance. Irregularities contributed to increasing the distance between the tops and bottoms of slices sectioned in different laboratories. Significant differences were found between T max and T geom for all thickness studies and counting frames (p<0.01). The T geom/T max average rate was 68.4-85.7% in volumes around cell profiles (∼600-1,200 μm2) and 83.3-91.8% in subcellular samples (∼25-160 μm2). Confocal microscopy may help to assess tissue irregularities, which might lead to an overestimation of tissue volume if section thickness is estimated by focusing on the top and bottom of the sections.

Uncovering Leishmania-macrophage interplay using imaging flow cytometry

Host-pathogen interaction is an area of considerable interest. Intracellular parasites such as Leishmania reside inside phagocytes such as macrophages, dendritic cells and neutrophils. Macrophages can be activated by cytokines such as IFN-γ and Toll like receptor (TLR) agonists resulting in enhanced microbicidal activity. Leishmania parasites hijack the microbicidal function of macrophages, mainly by interfering with intracellular signaling initiated by IFN-γ and TLR ligands. Here we used transgenic Leishmania donovani parasites expressing the red fluorescent protein DsRed2 and imaging-flow cytometry technology to evaluate parasitic loads inside the macrophage in vitro. Further, this methodology enables us to visualize impairment in NFκB translocation to the nucleus in L. donovani infected macrophages. Additionally we show that uninfected bystander macrophages have a similar impairment in NFκB translocation as in L. donovani infected macrophages in response to the TLR4 agonist LPS. This evidence suggests a possible immunosuppressive role for infected macrophages in regulating the activation of uninfected bystander macrophages.

[THE MORPHOMETRY IN CYTOLOGICAL ANALYSIS OF EXUDATIVE FLUIDS]

The cytological technique takes a leading position in diagnostic of tumor processes according exudative fluids. However, its results depend on large number of subjective factors. The morphometry is one of techniques by virtue of which objectification of data of cytological analysis is possible. The study was carried out to establish differences of morphometric parameters of benign and malignant cells of pleural effusion. The morphometric analysis of cells of mesothelium, breast cancer, adenocarcinoma of lung and adenocarcinoma of stomach was implemented. The parameters characterizing size (area, perimeter) and form (form factor) of nucleus and cell, nucleus-cytoplasm ratio. The results demonstrated that in pleural effusion between cells of proliferating mesothelium and malignant neoplasms exist significant differences in morphometric parameters (p<0.001). The differences between area of nuclei and cells are especially significant. The comparison of data of morphometry of cells of breast cancer; adenocarcinoma of lung and adenocarcinoma of stomach demonstrated that despite of some morphological similarities, analysis of morphometric parameters can provide important data for proper establishment of cytological diagnosis.

[THE VIRTUAL CYTOLOGIC SLIDES FOR EXTERNAL EVALUATION OF QUALITY OF IMPLEMENTATION OF CYTOLOGIC ANALYSES IN CLINICAL DIAGNOSTIC LABORATORIES: POSSIBILITIES AND PERSPECTIVES]

The article considers application of technology of analysis of cytological slides in external quality control of clinical diagnostic laboratories. The advantages of virtual slides are demonstrated against other applied technologies of external evaluation of quality i.e. slide plate and digital micro-photography. The conditions of formation of virtual slides for external evaluation of quality of clinical diagnostic laboratories. The technology of their application is described. The success of practical application of considered technology in the Federal system of external evaluation of quality is emphasized.

Characterization of the Distance Relationship Between Localized Serotonin Receptors and Glia Cells on Fluorescence Microscopy Images of Brain Tissue

We here present two new methods for the characterization of fluorescent localization microscopy images obtained from immunostained brain tissue sections. Direct stochastic optical reconstruction microscopy images of 5-HT1A serotonin receptors and glial fibrillary acidic proteins in healthy cryopreserved brain tissues are analyzed. In detail, we here present two image processing methods for characterizing differences in receptor distribution on glial cells and their distribution on neural cells: One variant relies on skeleton extraction and adaptive thresholding, the other on k-means based discrete layer segmentation. Experimental results show that both methods can be applied for distinguishing classes of images with respect to serotonin receptor distribution. Quantification of nanoscopic changes in relative protein expression on particular cell types can be used to analyze degeneration in tissues caused by diseases or medical treatment.

Adaptation of image cytometry methodology for DNA ploidy analysis of cervical epithelium samples: a pilot study

OBJECTIVE

To determine DNA ploidy in the cervical specimens of patients revealing a suspicion of cancer by image analysis performed by using a combination of commercial analysis software, conventional microscopy, and certified filters.

MATERIALS AND METHODS

This study followed a prospective design. Cervical samples were obtained from 20 patients undergoing routine screening in the Gynecologic-Oncology Unit of the University Hospital of the Federal University of Minas Gerais, Brazil. Three slides were prepared for each case and the DNA content was determined by image cytometry, post Feulgen staining. DNA ploidy, as well as events exceeding 5C and 9C, was assessed according to the guidelines and algorithms prescribed for diagnostic interpretation by the European Society for Analytical Cellular Pathology.

RESULTS

By employing the adapted tool, identification of the lesions with euploid and aneuploid profiles was possible. Abnormal DNA content was found in 65% of the cases (13/20), with 45% (9/20) presenting nuclei with >5C content and 20% (4/20) with >9C content. In the analyses conducted in this study, the coefficient of variation with respect to DNA quantity was lower than the 5% threshold recommended by the European Society for Analytical Cellular Pathology.

CONCLUSION

Image cytometry of the cervical specimens revealed DNA aneuploidy, most probably resulting from chromosomal alterations and appearing as precancerous lesions in 65% of the cases. The adaptations implemented in this study, enabled the DNA-image cytometry to become more accessible, enhancing its extended use as an adjuvant strategy for the early screening of the cervical epithelium samples during routine analyses.

Three-dimensional counting of morphologically normal human red blood cells via digital holographic microscopy

Counting morphologically normal cells in human red blood cells (RBCs) is extremely beneficial in the health care field. We propose a three-dimensional (3-D) classification method of automatically determining the morphologically normal RBCs in the phase image of multiple human RBCs that are obtained by off-axis digital holographic microscopy (DHM). The RBC holograms are first recorded by DHM, and then the phase images of multiple RBCs are reconstructed by a computational numerical algorithm. To design the classifier, the three typical RBC shapes, which are stomatocyte, discocyte, and echinocyte, are used for training and testing. Nonmain or abnormal RBC shapes different from the three normal shapes are defined as the fourth category. Ten features, including projected surface area, average phase value, mean corpuscular hemoglobin, perimeter, mean corpuscular hemoglobin surface density, circularity, mean phase of center part, sphericity coefficient, elongation, and pallor, are extracted from each RBC after segmenting the reconstructed phase images by using a watershed transform algorithm. Moreover, four additional properties, such as projected surface area, perimeter, average phase value, and elongation, are measured from the inner part of each cell, which can give significant information beyond the previous 10 features for the separation of the RBC groups; these are verified in the experiment by the statistical method of Hotelling's T-quare test. We also apply the principal component analysis algorithm to reduce the dimension number of variables and establish the Gaussian mixture densities using the projected data with the first eight principal components. Consequently, the Gaussian mixtures are used to design the discriminant functions based on Bayesian decision theory. To improve the performance of the Bayes classifier and the accuracy of estimation of its error rate, the leaving-one-out technique is applied. Experimental results show that the proposed method can yield good results for calculating the percentage of each typical normal RBC shape in a reconstructed phase image of multiple RBCs that will be favorable to the analysis of RBC-related diseases. In addition, we show that the discrimination performance for the counting of normal shapes of RBCs can be improved by using 3-D features of an RBC.

Adaptive imaging cytometry to estimate parameters of gene networks models in systems and synthetic biology

The use of microfluidics in live cell imaging allows the acquisition of dense time-series from individual cells that can be perturbed through computer-controlled changes of growth medium. Systems and synthetic biologists frequently perform gene expression studies that require changes in growth conditions to characterize the stability of switches, the transfer function of a genetic device, or the oscillations of gene networks. It is rarely possible to know a priori at what times the various changes should be made, and the success of the experiment is unknown until all of the image processing is completed well after the completion of the experiment. This results in wasted time and resources, due to the need to repeat the experiment to fine-tune the imaging parameters. To overcome this limitation, we have developed an adaptive imaging platform called GenoSIGHT that processes images as they are recorded, and uses the resulting data to make real-time adjustments to experimental conditions. We have validated this closed-loop control of the experiment using galactose-inducible expression of the yellow fluorescent protein Venus in Saccharomyces cerevisiae. We show that adaptive imaging improves the reproducibility of gene expression data resulting in more accurate estimates of gene network parameters while increasing productivity ten-fold.

Ultrafast automated image cytometry for cancer detection

We present a method for ultrafast automated single-cell optical microscopy that performs blur-free image acquisition and non-stop real-time image-recording and classification of cells during high-speed flow. This method is based on a unique integration of ultrafast optical imaging, self-focusing microfluidics, optoelectronics, and information technology. To show the system's utility, we demonstrate high-throughput image-based screening of rare breast cancer cells in blood with an unprecedented throughput of 100,000 cells/s and a record false positive rate of one in a million. This method is expected to be effective for early, noninvasive, low-cost detection of cancer.

Chromosome instability predicts the progression of premalignant oral lesions

OBJECTIVES

One of the main problems in reducing the incidence of oral squamous cell carcinoma (OSCC) is the inability to appropriately deal with leukoplakia. Accurately identifying lesions which will progress to malignancy is currently not possible. The present study aims to establish the value of chromosome instability (CI) detection by DNA image cytometry and FISH analysis for prognosis and monitoring of oral leukoplakia.

MATERIALS AND METHODS

For this purpose, we included from our archives 102 oral leukoplakia cases, which had been diagnosed between 1991 and 2008. Patient follow-up data were collected and the histopathological diagnosis was revised. CI assessment was carried out on paraffin-embedded tissue sections using both DNA image cytometry (ICM) and dual target FISH for chromosomes 1 and 7.

RESULTS

16 of 102 Patients developed carcinoma in situ or OSCC. Both detection methods were found to yield prognostic information independent of the histopathological diagnosis. CI was a strong individual marker of progression, with hazard ratios (HRs) of 7.2 and 6.8 for ICM and FISH respectively. Moreover, this approach seems suitable for monitoring lesions over time (especially ICM). Combining histopathology and CI enables subdivision of patients into three risk groups, with different probabilities of malignant progression.

CONCLUSION

CI detection seems a reliable method for risk assessment of oral premalignancies and its application may contribute to a better risk-counselling and appropriate treatment regimen or watchfull-waiting approach of patients.

Classification of histological images of the endometrium using texture features

OBJECTIVE

To present a texture analysis method in order to achieve texture classification for 240 histological images of the endometrium.

STUDY DESIGN

A total of 128 patients with endometrial cancer and 112 subjects with no pathological condition were imaged. For each image 190 texture features were initially extracted, derived from the wavelets, the Gabor filters, and the Law's masks, which were reduced after feature selection in only 4 features.

RESULTS

The images were classified into 2 categories using artificial neural networks, and the reported classification accuracy was 98.1%.

CONCLUSION

The results showed that there was a strong discrimination between histological images of cancerous and normal tissue of the endometrium, based on the proposed set of texture features.

Lensfree computational microscopy tools for cell and tissue imaging at the point-of-care and in low-resource settings

The recent revolution in digital technologies and information processing methods present important opportunities to transform the way optical imaging is performed, particularly toward improving the throughput of microscopes while at the same time reducing their relative cost and complexity. Lensfree computational microscopy is rapidly emerging toward this end, and by discarding lenses and other bulky optical components of conventional imaging systems, and relying on digital computation instead, it can achieve both reflection and transmission mode microscopy over a large field-of-view within compact, cost-effective and mechanically robust architectures. Such high throughput and miniaturized imaging devices can provide a complementary toolset for telemedicine applications and point-of-care diagnostics by facilitating complex and critical tasks such as cytometry and microscopic analysis of e.g., blood smears, Papanicolaou (Pap) tests and tissue samples. In this article, the basics of these lensfree microscopy modalities will be reviewed, and their clinically relevant applications will be discussed.

Double staining cytologic samples with quantitative Feulgen-thionin and anti-Ki-67 immunocytochemistry as a method of distinguishing cells with abnormal DNA content from normal cycling cells

OBJECTIVE

To improve ploidy analysis in the detection of high-grade cervical dysplasias by combining it with anti-Ki-67 immunocytochemistry in a double staining procedure to distinguish between cells with abnormal DNA content and normal cycling cells.

STUDY DESIGN

Cervical cytology specimens from 49 patients with various diagnoses, mostly dysplasias, from a previous study were used. Samples were double stained with Feulgen-thionin and anti-Ki-67 immunocytochemistry. Ki-67-negative cells were noncycling, so nondiploid Ki-67-negative cells were likely truly abnormal cells.

RESULTS

The area under the receiver operating characteristic curve for the ability to identify high-grade dysplasias was 0.73 for double staining and 0.74 for thionin-only ploidy analysis on Cytospin specimens. At 90% specificity, sensitivities for double staining and thionin alone were 45% and 32%, respectively, but the difference was not statistically significant.

CONCLUSION

Double staining with Feulgen-thionin and anti-Ki-67 immunocytochemistry does not improve the ability of ploidy analysis of cervical cytology specimens to separate high-grade and low-grade dysplasias, but our insights into the technical aspects of double staining, especially the effects of antigen retrieval, give hope that this technique could be applied to other immunocytochemical stains that would have a greater ability to improve ploidy analysis.

Rapid quantification of pathogenic fungi by Cellometer image-based cytometry

The objective of this study was to develop an image-based cytometric methodology for the quantification of viable pathogenic yeasts, which can offer increased sensitivity and efficiency when compared to the traditional colony forming unit (CFU) assay. Live/dead yeast quantification by flow cytometry has been previously demonstrated, however, adoption of flow cytometric detection of pathogenic yeasts has been limited for a number of practical reasons including its high cost and biosafety considerations. Our studies focus on detection of two human fungal pathogens: Histoplasma capsulatum and Candida albicans. H. capsulatum colonizes alveolar macrophages by replicating within the macrophage phagosome. Here, we quantitatively assess the growth of H. capsulatum yeasts within RAW 264.7 macrophages using acridine orange/propidium iodide staining in combination with Cellometer image-based cytometry; this method faithfully recapitulates growth trends as measured by traditional CFU enumeration, but with significantly increased sensitivity. Additionally, we directly assess infection of bone marrow-derived macrophages with a GFP-expressing strain of C. albicans. To demonstrate that image-based cytometry can be used as a tool to assess the susceptibility of fungi to antifungal drugs, we perform dose response experiments with the antifungal drugs amphotericin B and itraconazole and show that image-based cytometry allows rapid assessment of the kinetics of cytotoxicity induced by these antifungals. Our methodology offers a rapid, accurate, and economical means for detection and quantification of important human fungal pathogens, either alone or in association with host cells.

A novel image-based cytometry method for autophagy detection in living cells

Autophagy is an important cellular catabolic process that plays a variety of important roles, including maintenance of the amino acid pool during starvation, recycling of damaged proteins and organelles, and clearance of intracellular microbes. Currently employed autophagy detection methods include fluorescence microscopy, biochemical measurement, SDS-PAGE and western blotting, but they are time consuming, labor intensive, and require much experience for accurate interpretation. More recently, development of novel fluorescent probes have allowed the investigation of autophagy via standard flow cytometry. However, flow cytometers remain relatively expensive and require a considerable amount of maintenance. Previously, image-based cytometry has been shown to perform automated fluorescence-based cellular analysis comparable to flow cytometry. In this study, we developed a novel method using the Cellometer image-based cytometer in combination with Cyto-ID(®) Green dye for autophagy detection in live cells. The method is compared with flow cytometry by measuring macroautophagy in nutrient-starved Jurkat cells. Results demonstrate similar trends of autophagic response, but different magnitude of fluorescence signal increases, which may arise from different analysis approaches characteristic of the two instrument platforms. The possibility of using this method for drug discovery applications is also demonstrated through the measurement of dose-response kinetics upon induction of autophagy with rapamycin and tamoxifen. The described image-based cytometry/fluorescent dye method should serve as a useful addition to the current arsenal of techniques available in support of autophagy-based drug discovery relating to various pathological disorders.

Phase imaging flow cytometry using a focus-stack collecting microscope

This letter introduces a fluidics-based focus-stack collecting microscope. A microfluidic device transports cells through the focal plane of a microscope, resulting in an efficient method to collect focus stacks of large collections of single cells. Images from the focus stacks are used to reconstruct the quantitative phase of cells with the transport-of-intensity-equation method. Using the phase imaging flow cytometer, we measure three-dimensional shape variations of red blood and leukemia cells.

A novel method for kinetic measurements of rare cell proliferation using Cellometer image-based cytometry

Cell proliferation is an important assay for pharmaceutical and biomedical research to test the effects of a variety of treatments on cultured primary cells or cell lines. For immunological studies, the ability to perform rapid cell proliferation analysis allows the identification of potential biological reagents for inducing or inhibiting immune cell proliferation. Current cell proliferation analysis methods employ flow cytometry for fluorescence detection of CFSE-labeled cells. However, conventional flow cytometers require a considerable amount of cells per sample, which becomes an issue for kinetic measurements with rare cell population due to the lack of samples for flow cytometric analyses at multiple time points during proliferation period. Here we report the development of a novel cell proliferation kinetic detection method for low cell concentration samples using the new Cellometer Vision system. Since the Cellometer system requires only 20 μl of sample, cell proliferation can be measured at multiple time points over the entire culturing period, whereas typically, flow cytometry is only performed at the end of the proliferation period. To validate the detection method, B1 and B2 B cells were treated with a B cell mitogen for 6 days, and proliferation was measured using Cellometer on day 1, 3, 5, and 6. To demonstrate the capability of the system, B1 B cells were treated with a panel of TLR agonists (Pam3Cys, PolyIC, CLO97, and CpG) for 7 days, and proliferation was measured on day 2, 4, 6, and 7. Cellometer image-based cytometry (IBC) was able to obtain proliferation results on each day with the last time point comparable to flow cytometry. This novel method allows for kinetic measurements of the rare cell samples such as B1 B cell, which has the potential to revolutionize kinetic analysis of cell proliferation.

Automated sputum cytometry for detection of intraepithelial neoplasias in the lung

BACKGROUND

Despite the benefits of early lung cancer detection, no effective strategy for early screening and treatment exists, partly due to a lack of effective surrogate biomarkers. Our novel sputum biomarker, the Combined Score (CS), uses automated image cytometric analysis of ploidy and nuclear morphology to detect subtle intraepithelial changes that often precede lung tumours.

METHODS

2249 sputum samples from 1795 high-risk patients enrolled in ongoing chemoprevention trials were subjected to automated quantitative image cytometry after Feulgen-thionin staining. Samples from normal histopathology patients were compared against samples from carcinoma in situ (CIS) and cancer patients to train the CS.

RESULTS

CS correlates with several lung cancer risk factors, including histopathological grade, age, smoking status, and p53 and Ki67 immunostaining. At 50% specificity, CS detected 78% of all highest-risk subjects-those with CIS or worse plus those with moderate or severe dysplasia and abnormal nuclear morphology.

CONCLUSION

CS is a powerful yet minimally invasive tool for rapid and inexpensive risk assessment for the presence of precancerous lung lesions, enabling enrichment of chemoprevention trials with highest-risk dysplasias. CS correlates with other biomarkers, so CS may find use as a surrogate biomarker for patient assessment and as an endpoint in chemoprevention clinical trials.

[The DNA-citometry of peripheral blood cells under particular pathologic conditions in children]

The article deals with the data concerning DNA-citometry of peripheral blood cells in healthy children and under particular pathologic conditions. The causes of shifts are discussed as their possible role in pathogenesis and clinical diagnostics of diseases as well.

C-value reassessment of plant standards: an image cytometry approach

Image cytometry (ICM) has been used to measure DNA 2C-values by evaluating the optical density of Feulgen-stained nuclei. This optical measurement is carried out using three basic tools: microscopy, digital video camera, and image analysis software. Because ICM has been applied to plants, some authors have remarked that studies should be performed before this technique can be accepted as an accurate method for determination of plant genome size. Based on this, the 2C-value of eight plants, which are widely used as standards in DNA quantifications, was reassessed in a cascade-like manner, from A. thaliana through R. sativus, S. lycopersicum, Glycine max, Z. mays, P. sativum, V. faba, to A. cepa. The mean 2C-values of all plants were statistically compared to the values reported by other authors using flow cytometry and/or ICM. These analyses demonstrated that ICM is an accurate and reliable method for 2C-value measurement, representing an attractive alternative to flow cytometry. Statistical comparison of the results also indicated Glycine max 'Polanka' as the most adequate primary standard. However, distinct authors have been advised that 2C DNA content of the reference standard should be close to that of the sample. As three further approaches also revisited the 2C-value of these eight plants, we have thus proposed a mean 2C-value for each eight species.

Oscillatory dynamics of cell cycle proteins in single yeast cells analyzed by imaging cytometry

Progression through the cell division cycle is orchestrated by a complex network of interacting genes and proteins. Some of these proteins are known to fluctuate periodically during the cell cycle, but a systematic study of the fluctuations of a broad sample of cell-cycle proteins has not been made until now. Using time-lapse fluorescence microscopy, we profiled 16 strains of budding yeast, each containing GFP fused to a single gene involved in cell cycle regulation. The dynamics of protein abundance and localization were characterized by extracting the amplitude, period, and other indicators from a series of images. Oscillations of protein abundance could clearly be identified for Cdc15, Clb2, Cln1, Cln2, Mcm1, Net1, Sic1, and Whi5. The period of oscillation of the fluorescently tagged proteins is generally in good agreement with the inter-bud time. The very strong oscillations of Net1 and Mcm1 expression are remarkable since little is known about the temporal expression of these genes. By collecting data from large samples of single cells, we quantified some aspects of cell-to-cell variability due presumably to intrinsic and extrinsic noise affecting the cell cycle.

In vivo plant flow cytometry: a first proof-of-concept

In vivo flow cytometry has facilitated advances in the ultrasensitive detection of tumor cells, bacteria, nanoparticles, dyes, and other normal and abnormal objects directly in blood and lymph circulatory systems. Here, we propose in vivo plant flow cytometry for the real-time noninvasive study of nanomaterial transport in xylem and phloem plant vascular systems. As a proof of this concept, we demonstrate in vivo real-time photoacoustic monitoring of quantum dot-carbon nanotube conjugates uptake by roots and spreading through stem to leaves in a tomato plant. In addition, in vivo scanning cytometry using multimodal photoacoustic, photothermal, and fluorescent detection schematics provided multiplex detection and identification of nanoparticles accumulated in plant leaves in the presence of intensive absorption, scattering, and autofluorescent backgrounds. The use of a portable fiber-based photoacoustic flow cytometer for studies of plant vasculature was demonstrated. These integrated cytometry modalities using both endogenous and exogenous contrast agents have a potential to open new avenues of in vivo study of the nutrients, products of photosynthesis and metabolism, nanoparticles, infectious agents, and other objects transported through plant vasculature.

Lensless imaging for simultaneous microfluidic sperm monitoring and sorting

5.3 million American couples of reproductive age (9%) are affected by infertility, among which male factors account for up to 50% of cases, which necessitates the identification of parameters defining sperm quality, including sperm count and motility. In vitro fertilization (IVF) with or without intra cytoplasmic sperm injection (ICSI) has become the most widely used assisted reproductive technology (ART) in modern clinical practice to overcome male infertility challenges. One of the obstacles of IVF and ICSI lies in identifying and isolating the most motile and presumably healthiest sperm from semen samples that have low sperm counts (oligozoospermia) and/or low sperm motility (oligospermaesthenia). Microfluidic systems have shown potential to sort sperm with flow systems. However, the small field of view (FOV) of conventional microscopes commonly used to image sperm motion presents challenges in tracking a large number of sperm cells simultaneously. To address this challenge, we have integrated a lensless charge-coupled device (CCD) with a microfluidic chip to enable wide FOV and automatic recording as the sperm move inside a microfluidic channel. The integrated system enables the sorting and tracking of a population of sperm that have been placed in a microfluidic channel. This channel can be monitored in both horizontal and vertical configuration similar to a swim-up column method used clinically. Sperm motilities can be quantified by tracing the shadow paths for individual sperm. Moreover, as the sperm are sorted by swimming from the inlet towards the outlet of a microfluidic channel, motile sperm that reach the outlet can be extracted from the channel at the end of the process. This technology can lead to methods to evaluate each sperm individually in terms of motility response in a wide field of view, which could prove especially useful, when working with oligozoospermic or oligospermaesthenic samples, in which the most motile sperm need to be isolated from a pool of small number of sperm.

Human fetal/tumor metakaryotic stem cells: pangenomic homologous pairing and telomeric end-joining of chromatids

Metakaryotic cells and syncytia with large, hollow, bell-shaped nuclei demonstrate symmetrical and asymmetrical amitotic nuclear fissions in microanatomical positions and numbers expected of stem cell lineages in tissues of all three primordial germ layers and their derived tumors. Using fluorescence in situ hybridization, mononuclear metakaryotic interphase cells have been found with only 23 centromeric and 23 telomeric staining regions. Syncytial bell-shaped nuclei found approximately during weeks 5-12 of human gestation display 23 centromeric and either 23 or 46 telomeric staining regions. These images suggest that (1) homologous chromatids pair at centromeres and telomeres, (2) all paired telomeres join end-to-end with other paired telomeres in all mononuclear and some syncytial metakaryotic cells, and (3) telomere junctions may open and close during the syncytial phase of development. Twenty-three telomeric joining figures could be accounted by 23 rings of one chromatid pair each, a single pangenomic ring of 23 joined chromatid pairs, or any of many possible sets of oligo-chromatid pair rings. As telomeric end-joining may affect peri-telomeric gene expression, a programmed sequence of telomeric end-joining associations in metakaryotic stem cells could guide developmental arboration and errors in, or interruptions of, this program could contribute to carcinogenesis.

Cellular analysis by open-source software for affordable cytometry

Image cytometry is an important technique in affordable healthcare and cellular research. Some efforts toward establishing a personal, low-cost cytometer have been described in the literature. However, a self-assembled fluorescence microscope requires software for cytometric analysis. There are some open-source image-based software analysis applications available. However, for a quantitative analysis of images, software that can generate data comparable to those of previously evaluated cytometric analyses programs is required. Hence, the aim of this study is to compare results of a commercially available image cytometry program to data obtained using the open-source software CellProfiler (CP). Leukocytes and fluorescent bead images obtained using a Laser Scanning Cytometer were analyzed by CP and the results compared with those of conventional cytometric analyses' programs. Algorithms were developed enabling the analysis of leukocytes and beads by CP. CP provided similar results to those obtained by the cytometer software. Hallmark parameters, including cell count and fluorescence intensity, revealed a high correlation in the analysis of both programs. Therefore, CP is appropriate for cellular analysis on a self-assembled microscope, thereby enabling affordable cytometry.

Image cytometry: nuclear and chromosomal DNA quantification

Image cytometry (ICM) associates microscopy, digital image and software technologies, and has been particularly useful in spatial and densitometric cytological analyses, such as DNA ploidy and DNA content measurements. Basically, ICM integrates methodologies of optical microscopy calibration, standard density filters, digital CCD camera, and image analysis softwares for quantitative applications. Apart from all system calibration and setup, cytological protocols must provide good slide preparations for efficient and reliable ICM analysis. In this chapter, procedures for ICM applications employed in our laboratory are described. Protocols shown here for human DNA ploidy determination and quantification of nuclear and chromosomal DNA content in plants could be used as described, or adapted for other studies.

Feulgen staining remains the gold standard for precise DNA image cytometry

AIM

The suitability of Papanicolaou staining and of hematoxylin staining for DNA single-cell cytometry was investigated in comparison to Feulgen staining.

MATERIALS AND METHODS

Ten normal cervical smears and ten cervical smears containing cells of a squamous cell carcinoma in situ were analyzed. The integrated optical density (IOD) of 200 epithelial cells, chosen per random, was determined using a CM-1 TV-image analysis system (Hund, Wetzlar, Germany). Various DNA cytometric variables, accepted by the European Society for Analytical and Cellular Pathology (ESACP), and the mean nuclear area were calculated. Two measurements were performed after Papanicolaou staining (wavelengths: 530 nm and 590 nm), followed by measurements after hematoxylin re-staining (wavelength: 590 nm) and after Feulgen restaining (wavelength: 570 nm).

RESULTS

All histograms of Feulgen-stained normal squamous epithelia revealed a regular DNA distribution. The corresponding histograms after Papanicolaou staining or hematoxylin staining showed a wide scatter of values instead of a clear-cut diploid peak and an increased number of values >4c. Similar findings were observed in the carcinomatous smears. In particular, the mean values of the dispersion parameters (2cDI, entropy, ploidy imbalance and 2,5cEE) were significantly increased as compared to Feulgen staining.

CONCLUSION

Diagnostic or prognostic conclusions cannot be drawn from DNA measurements on Papanicolaou-stained or hematoxylin-stained specimens; Feulgen staining remains the gold standard for such purposes.

Simultaneous counting of two subsets of leukocytes using fluorescent silica nanoparticles in a sheathless microchip flow cytometer

A portable flow cytometer has been recognized as an important tool for many clinical applications such as HIV/AIDS screening in developing countries and regions with limited medical facilities and resources. Conventional flow cytometers typically require multiple detectors for simultaneous identification of multiple subsets of immune cell. To minimize the number of detectors toward portable flow cytometry or to analyze multi-parametric cellular information with minimum number of detectors in conventional flow cytometers, we propose a versatile multiplexed cell-counting method using functional silica nanoparticles (SiNPs). FITC-doped SiNPs, which are 100 times brighter than the FITC molecules itself, were used as new intensity-based fluorescent dye complexes to simultaneously measure two subsets of leukocytes using a single detector. CD45(+)CD4(+) cells tagged with these FITC-doped SiNPs were 50 times brighter than CD45(+)CD4(-) cells tagged only with FITC. To make the overall system compact, a disposable microchip flow cytometer that does not require sheath flow was developed. Combining these dye-doped SiNPs based detection schemes and the sheathless microchip flow cytometer scheme, we successfully identified and counted two subsets of leukocytes simultaneously (R(2) = 0.876). These approaches can be the building blocks for a truly portable and disposable flow cytometer for various clinical cytometry applications.

Photothermal multispectral image cytometry for quantitative histology of nanoparticles and micrometastasis in intact, stained and selectively burned tissues

There is a rapidly growing interest in the advanced analysis of histological data and the development of appropriate detection technologies in particular for mapping of nanoparticle distributions in tissue in nanomedicine applications. We evaluated photothermal (PT) scanning cytometry for color-coded imaging, spectral identification, and quantitative detection of individual nanoparticles and abnormal cells in histological samples with and without staining. Using this tool, individual carbon nanotubes, gold nanorods, and melanoma cells with intrinsic melanin markers were identified in unstained (e.g. sentinel lymph nodes) and conventionally-stained tissues. In addition, we introduced a spectral burning technique for histology through selective laser bleaching areas with nondesired absorption background and nanobubble-based PT signal amplification. The obtained data demonstrated the promise of PT cytometry in the analysis of low-absorption samples and mapping of various individual nanoparticles' distribution that would be impossible with existing assays. Comparison of PT cytometry and photoacoustic (PA) cytometry previously developed by us, revealed that these methods supplement each other with a sensitivity advantage (up to 10-fold) of contactless PT technique in assessment of thin (≤100 μm) histological samples, while PA imaging provides characterization of thicker samples which, however, requires an acoustic contact with transducers. A potential of high-speed integrated PT-PA cytometry for express histology and immunohistochemistry of both intact and stained heterogeneous tissues with high sensitivity at the zepromolar concentration level is further highlighted.

Image cytometric validation of breast carcinoma markers (ER, HER2 and MIB-1) using tissue microarrays: rabbit monoclonal vs. FDA-approved antibodies

OBJECTIVE

To use the ACIS III (Dako, Carpinteria, California, U.S.A.) with tissue microarrays (TMAs) to compare rabbit monoclonal antibodies (RMab) for ER, HER2, and MIB-1 with FDA-approved monoclonal (FMab) and polyclonal (FPab) antibodies.

STUDY DESIGN

TMAs of 43 breast cancers were used. Immunohistochemistry was performed using RMab (LabVision, Fremont, California, U.S.A.): ER (SP1; 1/100), HER2 (SP3; 1/100), and MIB-1 (SP6; 1/200). FMPab (Dako) used: ER (1D5; 1/50), HercepTest kit and MIB-1 (MIB-1; 1/160). The stained TMAs were quantitated visually and by image cytometry (ACIS III).

RESULTS

The overall agreement between RMab and FMab for ER using visual (98.45%) and image analysis (97.56%) was excellent, with a kappa level of 0.89 and 0.94, respectively. For HER2, the overall agreement between RMab and FPab was fair for visual (67.44%) and substantial (87.50%) for image analysis, with a kappa level of 0.32 and 0.72, respectively. For MIB-1, there was fair (64.29%) to poor (43.33%) agreement between MIB-1 RMab and FMab using visual and image analysis, with a kappa level of 0.47 and 0.16, respectively.

CONCLUSION

RMabs for ER (SP1) and HER2 (SP3) are almost comparable to their counterpart, FDA antibodies; however, MIB-1 RMab (SP6) shows poor concordance with FMab in TMA. Image analysis shows a better concordance than visual quantitation assessment specifically for ER and HER2.