Scanning fluorescent microscopy is an alternative for quantitative fluorescent cell analysis

Calibration-Aimed Comparison of Image-Cytometry- and Flow-Cytometry-Based Approaches of Ploidy Analysis

Ploidy analysis is the fundamental method of measuring DNA content. For decades, the principal way of conducting ploidy analysis was through flow cytometry. A flow cytometer is a specialized tool for analyzing cells in a solution. This is convenient in laboratory environments, but prohibits measurement reproducibility and the complete detachment of sample preparation from data acquisition and analysis, which seems to have become paramount with the constant decrease in the number of pathologists per capita all over the globe. As more open computer-aided systems emerge in medicine, the demand for overcoming these shortcomings, and opening access to even more (and more flexible) options, has also emerged. Image-based analysis systems can provide an alternative to these types of workloads, placing the abovementioned problems in a different light. Flow cytometry data can be used as a reference for calibrating an image-based system. This article aims to show an approach to constructing an image-based solution for ploidy analysis, take measurements for a basic comparison of the data produced by the two methods, and produce a workflow with the ultimate goal of calibrating the image-based system.

Simple Shading Correction Method for Brightfield Whole Slide Imaging

Whole slide imaging (WSI) refers to the process of creating a high-resolution digital image of a whole slide. Since digital images are typically produced by stitching image sequences acquired from different fields of view, the visual quality of the images can be degraded owing to shading distortion, which produces black plaid patterns on the images. A shading correction method for brightfield WSI is presented, which is simple but robust not only against typical image artifacts caused by specks of dust and bubbles, but also against fixed-pattern noise, or spatial variations in pixel values under uniform illumination. The proposed method comprises primarily of two steps. The first step constructs candidates of a shading distortion model from a stack of input image sequences. The second step selects the optimal model from the candidates. The proposed method was compared experimentally with two previous state-of-the-art methods, regularized energy minimization (CIDRE) and background and shading correction (BaSiC) and showed better correction scores, as smooth operations and constraints were not imposed when estimating the shading distortion. The correction scores, averaged over 40 image collections, were as follows: proposed method, 0.39 ± 0.099; CIDRE method, 0.67 ± 0.047; BaSiC method, 0.55 ± 0.038. Based on the quantitative evaluations, we can confirm that the proposed method can correct not only shading distortion, but also fixed-pattern noise, compared with the two previous state-of-the-art methods.

A BaSiC tool for background and shading correction of optical microscopy images

Quantitative analysis of bioimaging data is often skewed by both shading in space and background variation in time. We introduce BaSiC, an image correction method based on low-rank and sparse decomposition which solves both issues. In comparison to existing shading correction tools, BaSiC achieves high-accuracy with significantly fewer input images, works for diverse imaging conditions and is robust against artefacts. Moreover, it can correct temporal drift in time-lapse microscopy data and thus improve continuous single-cell quantification. BaSiC requires no manual parameter setting and is available as a Fiji/ImageJ plugin.

CellTracks TDI: an image cytometer for cell characterization

Characterization of rare cells usually requires high sensitivity quantification of multiple parameters. Detection of morphological features of these cells is highly desired when routinely identifying circulating tumor cells (CTC) in blood of patients. We have designed an image cytometer intended for fast and sensitive routine analysis of CTC. After an initial scan, prospective events can be revisited for more detailed analysis. The image cytometer features: 375, 491, and 639 nm laser lines, a 40×/0.6NA objective, a CCD camera operating in TDI mode, servo stages to move the sample in two dimensions and a piëzo microscope objective positioner to move the objective in the third dimension. ImageJ is used for dedicated image analysis. A homogeneous illumination area, measuring 180 × 180 μm(2) , was created by the use of a rotating diffuser in combination with two micro-lens arrays. For feed-forward automatic focusing of the sample during a scan, a 3D spline was fitted through 30 predetermined focus positions before scanning the sample. Continuous signal acquisition is made possible by using a CCD operating in TDI mode synchronized to the movement of two servo scan stages. The limit of fluorescence sensitivity is 120 PE molecules on a bead with a diameter of 6.8 μm, at a scanning speed of 1.0 mm s(-1) . The resolution of the imaging system is 0.76 μm in the TDI scan direction at a wavelength of 580 nm. Identification of cells is facilitated by scatter plots of the fluorescent parameters in which each individual event can be viewed for its morphological features by fluorescence as well as bright field. The image cytometer measures quantitative fluorescence and morphological features at a high sensitivity, high resolution, and with minimal overhead time. It has the ability torelocate events of interest for further detailed analysis. The system can be used for routine identification and characterization of rare cells.

The cytometric future: it ain't necessarily flow!

Initial approaches to cytometry for classifying and characterizing cells were based on microscopy; it was necessary to collect relatively high-resolution images of cells because only a few specific reagents usable for cell identification were available. Although flow cytometry, now the dominant cytometric technology, typically utilizes lenses similar to microscope lenses for light collection, improved, more quantitative reagents allow the necessary information to be acquired in the form of whole-cell measurements of the intensities of light transmission, scattering, and/or fluorescence.Much of the cost and complexity of both automated microscopes and flow cytometers arises from the necessity for them to measure one cell at a time. Recent developments in digital camera technology now offer an alternative in which one or more low-magnification, low-resolution images are made of a wide field containing many cells, using inexpensive light-emitting diodes (LEDs) for illumination. Minimalist widefield imaging cytometers can provide a smaller, less complex, and substantially less expensive alternative to flow cytometry, critical in systems intended for in resource-poor areas. Minimalism is, likewise, a good philosophy in developing instrumentation and methodology for both clinical and large-scale research use; it simplifies quality assurance and compliance with regulatory requirements, as well as reduces capital outlays, material costs, and personnel training requirements. Also, importantly, it yields "greener" technology.

Cytomics and nanobioengineering

The finding that an individual's genome differs as much as by many million variants from that of the human reference assembly diminished the great enthusiasm that every disease could be predicted based on nucleotide polymorphisms. Even individual cells of an organ may be specifically equipped to perform specific tasks and that the information of individual cells in a cell system is key information to understand function or dysfunction. Therefore, cytomics received great attention during the last years as it allows to quantitatively and qualitatively analyzing great number of individual cells, cell constituents, and of their intracellular and functional interactions in a cellular system and also giving the concept of analysis of these data.Exhaustive data extraction from multiparametric assays and multiple tests are the prerequisite for prediction of drug toxicity. Cytomics, as novel approach for unsupervised data analysis give a chance to find the most predictive parameters, which describe best the toxicity of a chemical. Cytomics is intrinsically connected to drug development and drug discovery.Focused on small structures, nanobioengineering is the ideal partner of cytomics, the systems biological discipline for cell population analysis. Realizing the idea "from the molecule to the patient" develops and offers chemical compounds, proteins, and other biomolecules, cells as well as tissues as instruments and products for a wide variety of biotechnological and biomedical applications.The integrative nanobioengineering combining different disciplines of nanotechnology will promote the development of innovative therapies and diagnostic methods. It can improve the precision of the measurements with focus on single cell analysis. By nanobioengineering and whole body imaging techniques, cytomics covers the field from molecules through bacterial cells, eukaryotic tissues, and organs to small animal live analysis. Toxicological testing and medical drug development are currently strongly broadening. It harbors the promise to substantially impact on various fields of biomedicine, drug discovery, and predictive medicine.As the number of scientific data is rising exponentially, new data analysis tools and strategies like cytomics and nanobioengineering take a lead and get closer to application. Bionanoengineering may strongly support the quantitative data supply, thus strengthening the rational for cytomics approach.

Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopy

BACKGROUND

Confocal laser scanning microscopy has revolutionized cell biology. However, the technique has major limitations in speed and sensitivity due to the fact that a single laser beam scans the sample, allowing only a few microseconds signal collection for each pixel. This limitation has been overcome by the introduction of parallel beam illumination techniques in combination with cold CCD camera based image capture.

METHODS

Using the combination of microlens enhanced Nipkow spinning disc confocal illumination together with fully automated image capture and large scale in silico image processing we have developed a system allowing the acquisition, presentation and analysis of maximum resolution confocal panorama images of several Gigapixel size. We call the method Extended Field Laser Confocal Microscopy (EFLCM).

RESULTS

We show using the EFLCM technique that it is possible to create a continuous confocal multi-colour mosaic from thousands of individually captured images. EFLCM can digitize and analyze histological slides, sections of entire rodent organ and full size embryos. It can also record hundreds of thousands cultured cells at multiple wavelength in single event or time-lapse fashion on fixed slides, in live cell imaging chambers or microtiter plates.

CONCLUSION

The observer independent image capture of EFLCM allows quantitative measurements of fluorescence intensities and morphological parameters on a large number of cells. EFLCM therefore bridges the gap between the mainly illustrative fluorescence microscopy and purely quantitative flow cytometry. EFLCM can also be used as high content analysis (HCA) instrument for automated screening processes.

Automated classification of inflammation in colon histological sections based on digital microscopy and advanced image analysis

Automated and quantitative histological analysis can improve diagnostic efficacy in colon sections. Our objective was to develop a parameter set for automated classification of aspecific colitis, ulcerative colitis, and Crohn's disease using digital slides, tissue cytometric parameters, and virtual microscopy. Routinely processed hematoxylin-and-eosin-stained histological sections from specimens that showed normal mucosa (24 cases), aspecific colitis (11 cases), ulcerative colitis (25 cases), and Crohn's disease (9 cases) diagnosed by conventional optical microscopy were scanned and digitized in high resolution (0.24 mum/pixel). Thirty-eight cytometric parameters based on morphometry were determined on cells, glands, and superficial epithelium. Fourteen tissue cytometric parameters based on ratios of tissue compartments were counted as well. Leave-one-out discriminant analysis was used for classification of the samples groups. Cellular morphometric features showed no significant differences in these benign colon alterations. However, gland related morphological differences (Gland Shape) for normal mucosa, ulcerative colitis, and aspecific colitis were found (P < 0.01). Eight of the 14 tissue cytometric related parameters showed significant differences (P < 0.01). The most discriminatory parameters were the ratio of cell number in glands and in the whole slide, biopsy/gland surface ratio. These differences resulted in 88% overall accuracy in the classification. Crohn's disease could be discriminated only in 56%. Automated virtual microscopy can be used to classify colon mucosa as normal, ulcerative colitis, and aspecific colitis with reasonable accuracy. Further developments of dedicated parameters are necessary to identify Crohn's disease on digital slides.

Cell-based sensor for analysis of EGFR biomarker expression in oral cancer

Oral cancer is the sixth most common cancer worldwide and has been marked by high morbidity and poor survival rates that have changed little over the past few decades. Beyond prevention, early detection is the most crucial determinant for successful treatment and survival of cancer. Yet current methodologies for cancer diagnosis based upon pathological examination alone are insufficient for detecting early tumor progression and molecular transformation. To address this clinical need, we have developed a cell-based sensor to detect oral cancer biomarkers, such as the epidermal growth factor receptor (EGFR) whose over-expression is associated with early oral tumorigenesis and aggressive cancer phenotypes. The lab-on-a-chip (LOC) sensor utilizes an embedded track-etched membrane, which functions as a micro-sieve, to capture and enrich cells from complex biological fluids or biopsy suspensions. Once captured, "on-membrane" immunofluorescent assays reveal the presence and isotype of interrogated cells via automated microscopy and fluorescent image analysis. Using the LOC sensor system, with integrated capture and staining technique, EGFR assays were completed in less than 10 minutes with staining intensity, homogeneity, and cellular localization patterns comparable to conventional labeling methods. Further examination of EGFR expression in three oral cancer cell lines revealed a significant increase (p < 0.05) above control cells with EGFR expression similar to normal squamous epithelium. Results obtained in the microfluidic sensor system correlated well with flow cytometry (r(2) = 0.98), the "gold standard" in quantitative protein expression analysis. In addition, the LOC sensor detected significant differences between two of the oral cancer cell lines (p < 0.01), accounting for disparity of approximately 34 000 EGFR per cell according to quantitative flow cytometry. Taken together, these results support the LOC sensor system as a suitable platform for rapid detection of oral cancer biomarkers and characterization of EGFR over-expression in oral malignancies. Application of this technique may be clinically useful in cancer diagnostics for early detection, prognostic evaluation, and therapeutic selection. Having demonstrated the functionality of this integrated microfluidic sensor system, further studies using clinical samples from oral cancer patients are now warranted.

Cytomics - importance of multimodal analysis of cell function and proliferation in oncology

Cancer is a highly complex and heterogeneous disease involving a succession of genetic changes (frequently caused or accompanied by exogenous trauma), and resulting in a molecular phenotype that in turn results in a malignant specification. The development of malignancy has been described as a multistep process involving self-sufficiency in growth signals, insensitivity to antigrowth signals, evasion of apoptosis, limitless replicative potential, sustained angiogenesis, and finally tissue invasion and metastasis. The quantitative analysis of networking molecules within the cells might be applied to understand native-state tissue signalling biology, complex drug actions and dysfunctional signalling in transformed cells, that is, in cancer cells. High-content and high-throughput single-cell analysis can lead to systems biology and cytomics. The application of cytomics in cancer research and diagnostics is very broad, ranging from the better understanding of the tumour cell biology to the identification of residual tumour cells after treatment, to drug discovery. The ultimate goal is to pinpoint in detail these processes on the molecular, cellular and tissue level. A comprehensive knowledge of these will require tissue analysis, which is multiplex and functional; thus, vast amounts of data are being collected from current genomic and proteomic platforms for integration and interpretation as well as for new varieties of updated cytomics technology. This overview will briefly highlight the most important aspects of this continuously developing field.

Automated virtual microscopy of gastric biopsies

BACKGROUND

Automated virtual microscopy of specimens from gastrointestinal biopsies is based on cytometric parameters of digitized histological sections. To our knowledge, cytometric parameters of gastritis and of adenocarcinoma have yet to be fully characterized. Our objective was to classify gastritis and adenocarcinoma based on cytometric parameters. We hypothesized that automated virtual microscopy using this novel classification can reliably diagnose gastritis and adenocarcinoma.

METHODS

Routinely processed hematoxylin-and-eosin-stained histological sections from specimens that showed normal mucosa (14 cases), gastritis (35 cases), and adenocarcinoma (30 cases) diagnosed by conventional optical microscopy were scanned and digitized at high resolution. Thirty-eight cytometric parameters based on density and morphometry were applied to glands and superficial epithelium. Twelve cytometric parameters based on cytologic detail were applied to individual cells.

RESULTS

Statistically significant differences in cytometric parameters for normal mucosa, gastritis, and adenocarcinoma were found. The most discriminatory parameter was the ratio of the total number of cells to the number of interstitial cells. These differences correctly classified adenocarcinoma at 100% accuracy and overall correctness was 86%.

CONCLUSIONS

We describe a novel method of analyzing gastric mucosal histology based on cytometric parameters. Automated virtual microscopy can be used to classify gastric mucosa as normal, gastritis, or adenocarcinoma with reasonable accuracy. Further research is necessary to determine whether automated virtual microscopy can subclassify gastric mucosal histology in greater detail.

Personal cytometers: slow flow or no flow?

BACKGROUND

Although some manufacturers have optimistically described instruments with prices in the 40,000 US dollars range as "personal cytometers", analogy with the personal computer suggests that the target price for a true "personal" cytometer should be under 5,000 US dollars. Since such an apparatus could find a wide range of applications in cytomics in both developing and developed countries, it seemed desirable to consider its technical and economic feasibility.

METHODS

Using resolution targets and a variety of fluorescent bead standards immobilized on filters and/or slides, we evaluated high-intensity LEDs as fluorescence excitation sources, relatively inexpensive CCD cameras as detectors, and 35 mm camera lenses and plastic low-power microscope optics for light collection in a simple, inexpensive low-resolution imaging cytometer.

RESULTS

The components tested could be combined toproduce an instrument capable of detecting fewer than 10,000 molecules of cell-associated fluorescent label, and thus applicable to a broad range of cytometric tasks.

CONCLUSIONS

Given the requirements for light sources, detectors, optics, mechanics, electronics and data analysis hardware and software, and the components presently available, it should be easier to reach the desired 5,000 US dollars price point with an image cytometer than with a flow cytometer.

Slide-based cytometry for cytomics--a minireview

In the postgenomic era, to gain the most detailed quantitative data from biological specimens has become increasingly important in the emerging new fields of high-content and high-throughput single-cell analysis for systems biology and cytomics. Areas of research and diagnosis with the demand to virtually measure "anything" in the cell include immunophenotyping, rare cell detection and characterization in the case of stem cells and residual tumor cells, tissue analysis, and drug discovery. Systemic analysis is also a prerequisite for predictive medicine by genomics, proteomics, and cytomics. This issue of Cytometry Part A is dedicated to innovative concepts of system wide single cells analysis and manipulation, new technologies, data analysis and display, and, finally, quality assessment. The manuscripts to these chapters are provided by cutting edge experts in the fields. This overview will briefly highlight the most important aspects of this continuously developing field.

Automated four-color analysis of leukocytes by scanning fluorescence microscopy using quantum dots

BACKGROUND

Scanning fluorescence microscope (SFM) is a new technique for automated motorized microscopes to measure multiple fluorochrome labeled cells (Bocsi et al., Cytometry A 2004, 61:1-8).

AIMS

We developed a four-color staining protocol (DNA, CD3, CD4, and CD8) for the lymphocyte phenotyping by SFM.

METHODS

Organic (Alexa488, FITC, PE-Alexa610, CyChrom, APC) and inorganic (quantum dot (QD) 605 or 655) fluorochromes were used and compared in different combinations. Measurements were performed in suspension by flow cytometer (FCM) and on slide by SFM.

RESULTS

Both QDs were detectable by the appropriate Axioplan-2 and FCM filters and the AxioCam BW-camera. CD4/CD8 ratios were highly correlated (P = 0.01) between the SFM and FCM.

CONCLUSION

Automated SFM is an applicable tool for CD4/CD8 ratio determination in peripheral blood samples with QDs.

Systems biology and clinical cytomics: The 10th Leipziger Workshop and the 3rd International Workshop on Slide-Based Cytometry, Leipzig, Germany, April 2005

Despite very significant technical and software improvements in flow cytometry (FCM) since the 1980's, the demand for a cytometric technology combining both quantitative cell analysis and morphological documentation in Cytomics became evident. Improvements in microtechnology and computing permit nowadays similar quantitative and stoichiometric single cell-based high-throughput analyses by microscopic instruments, like Slide-Based Cytometry (SBC). SBC and related techniques offer unique tools to perform complex immunophenotyping, thereby enabling diagnostic procedures during early disease stages. Multicolor or polychromatic analysis of cells by SBC is of special importance not only as a cytomics technology platform but also because of low quantities of required reagents and biological material. The exact knowledge of the location of each cell on the slide permits repetitive restaining and reanalysis of specimens. Various separate measurements of the same specimen can be ultimately fused to one database increasing the information obtained per cell. Relocation and optical evaluation of cells as typical SBC feature, can be of integral importance for cytometric analysis, since artifacts can be excluded and morphology of measured cells can be documented. Progress in cell analytic: In the SBC, new horizons can be opened by the new techniques of structural and functional analysis with the high resolution from intracellular and membrane (confocal microscopy, nanoscopy, total internal fluorescence microscopy (TIRFM), and tissue level (tissomics), to organ and organism level (in vivo cytometry, optical whole body imaging). Predictive medicine aims at the detection of changes in patient's state prior to the manifestation of the disease or the complication. Such instances concern immune consequences of surgeries or noninfectious posttraumatic shock in intensive care patients or the pretherapeutic identification of high risk patients in cancer cytostatic therapy. Preventive anti-infectious or anti-shock therapy as well as curative chemotherapy in combination with stem cell transplantation may provide better survival chances for patient at concomitant cost containment. Predictive medicine-guided optimization of therapy could lead to individualized medicine that gives significant therapeutic effect and may lower or abrogate potential therapeutic side effects. The 10th Leipziger Workshop combined with the 3rd International Workshop on SBC aimed to offer new methods in Image- and Slide-Based Cytometry for solutions in clinical research. It moved towards practical applications in the clinics and the clinical laboratory. This development will be continued in 2006 at the upcoming Leipziger Workshop and the International Workshop on Slide-Based Cytometry.

Polychromatic (eight-color) slide-based cytometry for the phenotyping of leukocyte, NK, and NKT subsets

BACKGROUND

Natural killer (NK) and NK T (NKT) cells are important in innate immune defense. Their unequivocal identification requires at least four antigens. Based on the expression of additional antigens, they can be further divided into functional subsets. For more accurate immunophenotyping and to describe multiple expression patterns of leukocyte subsets, an increased number of measurable colors is necessary. To take advantage of the technologic features offered by slide-based cytometry, repeated analysis was combined with sequential optical-filter changing.

METHODS

Human peripheral blood leukocytes from healthy adult volunteers were labeled with antibodies by direct or indirect staining. Tandem dyes of Cy7 (phycoerythrin [PE]-/allophycocyanin [APC]-Cy7), Cy5.5 (PE-/APC-Cy5.5), and PE-Cy5 and the fluorochromes fluorescein isothiocyanate (FITC), PE, and APC were tested alone and in combinations. Optical filters of the laser scanning cytometer were 555 DRLP/BP 530/30 nm for photomultiplier tube (PMT) 1/FITC, 605 DRLP/BP 580/30 nm for PMT 2/PE, 740 DCXR/BP 670/20 nm for PMT 3/Cy5/APC, and BP 810/90 nm for PMT 4/Cy7. Filter PMT 3 was replaced for detection of PE/Cy5.5 and APC/Cy5.5 by 740 LP/BP 710/20 nm and the sample was remeasured. Both data files were merged into one to combine the different information on a single-cell basis. The combination of eight antibodies against CD3, CD4, CD8, CD14, CD16, CD19, CD45, and CD56 was used to characterize NK and NKT cells and their subsets.

RESULTS

In this way Cy5.5 is measurable at 488-nm and 633-nm excitation. Further, with the two different filters it is possible to distinguish Cy5 from Cy5.5 in the same detection channel (PMT 3). With this method we identified NK and NKT cells, subsets of NK (CD3-16+56+, CD3-16+56-, CD3-16-56+) and NKT (CD3+16+56+, CD3+16-56+) and their CD4+8-, CD4-8+, CD4-8- and CD4+8+ subsets.

CONCLUSION

With our adaptations it is possible to discriminate tandem conjugates of Cy5, Cy5.5, and Cy7 for eight-color immunophenotyping. Using this method, novel rare subsets of NK and NKT cells that are CD4/CD8 double positive are reported for the first time.

Regenerative and predictive medicine of cardiovascular disease: The 9th Leipziger workshop and the 2nd international workshop on slide based cytometry

Slide-based cytometry (SBC) and related techniques offer unique tools to perform complex immunophenotyping, thereby enabling diagnostic procedures at very early disease stages. Multicolor or polychromatic analysis of cells by SBC is of special importance, not only as a cytomics technology platform but also for patients with low blood volume such as neonates. The exact knowledge of the location of each cell on the slide allows restaining and subsequent reanalysis of the specimen. These separate measurements of the same specimen can be fused to one data file (merging), thus increasing the information obtained per cell. Relocalization and optical evaluation of the cells, a feature typical of SBC, can be of integral importance for cytometric analysis. Due to this feature, artifacts can be excluded and morphology of measured cells can be documented. Predictive medicine aims at the detection of changes in patient's state before the manifestation of the disease or its complications. Such instances concern multiorgan failure in sepsis or noninfectious posttraumatic shock in intensive care patients or the pretherapeutic identification of high-risk patients undergoing cancer cytostatic therapy. Early anti-infectious or antishock therapy and curative chemotherapy in combination with stem cell transplantation may provide better chances of patients' survival at concomitant cost containment. Predictive medicine that guides early individualized decrease or cessation of therapy may lower or abrogate potential therapeutic side effects (individualized medicine). Regenerative medicine concerns patients who have diseased and injured organs and may be treated with transplanted organs. However, there is a severe shortage of donor organs that is worsening yearly given the aging population. Regenerative medicine and tissue engineering apply the principles of cell transplantation, material science, and bioengineering to construct biological substitutes that will restore and maintain normal function in diseased and injured tissues. Neovascularization is promoted by bone marrow-derived endothelial progenitor cells that lead to the formation of entirely new vessels into ischemic tissue. With this knowledge, many therapeutical borders can be skipped. Diseases formerly uncontrolled can be corrected with stem cells to provide causal healing with regeneration processes. The 9th Leipziger Workshop combined with the 2nd International Workshop on SBC aimed to offer new methods in image cytometry and SBC for solutions in clinical research. It moved toward practical applications in clinics and the clinical laboratory. This development will be continued in 2005 at the upcoming Leipziger Workshop and the 3rd International Workshop on SBC.

Scanning fluorescent microscopy analysis is applicable for absolute and relative cell frequency determinations

BACKGROUND

Flow cytometry (FCM) and laser scanning cytometry (LSC) are the routine techniques for fluorescent cell analysis. Recently, we developed a scanning fluorescent microscopy (SFM) technique. This study compares SFM to LSC (two slide-based cytometry, SBC, techniques) and FCM, in experimental and clinical settings.

METHODS

For the relative cell-frequency determinations, HT29 colorectal cancer cells and Ficoll separated blood mononuclear cells (FSBMCs) were serially diluted (from 1:1 to 1:1,000) and measured by each of the three techniques. For the absolute cell number determinations (only for SBC) FSBMCs were smeared on slides, then HT29 cells were placed on the slide with a micromanipulator (5-50 cells). Tumor cells circulating in the peripheral blood were isolated by magnetic separation from clinical blood samples of colorectal cancer patients. All samples were double-stained by CD45 ECD and CAM5.2 FITC antibodies. For slides, TOTO-3 and Hoechst 33258 DNA dyes were applied as nuclear counter staining.

RESULTS

In the relative cell frequency determinations, the correlations between the calculated value and measured values by SFM, LSC, and FCM were r(2) = 0.79, 0.62, and 0.84, respectively (for all P < 0.01). In the absolute cell frequency determinations, SFM and LSC correlated to a high degree (r(2) = 0.97; P < 0.01).

CONCLUSIONS

SFM proved to be a reliable alternative method, providing results comparable to LSC and FCM. SBC proved to be more suitable for rare-cell detection than FCM. SFM with digital slides may prove an acceptable adaptation of conventional fluorescent microscopes in order to perform rare-cell detection.

Quantitative histology by multicolor slide-based cytometry

BACKGROUND

In lymphatic organs, the quantitative analysis of the spatial distribution of leukocytes by tissue cytometry would give relevant information about alterations during diseases (leukemia, HIV, AIDS) and their therapeutic regimen, as well as in experimental settings.

METHODS

We have developed a semiautomated analysis method for laser scanning cytometry (LSC) termed "multiple thresholding," which is suitable for archived or fresh biopsy material of human lymph nodes and tonsils. Sections are stained with PI for nuclear DNA and up to four antigens using direct or indirect immunofluorescence staining. Measurement is triggered on DNA-fluorescence (argon laser, Ar) or on specific cell labeling. Due to the heterogeneity of cell density, measurements are performed repeatedly at different threshold levels (low threshold: regions of low cellular density, germinal center; high threshold: dense regions, mantle zone). Data are acquired by single- (Ar) or dual-laser excitation (Ar-HeNe) in order to analyze single- (FITC) up to four-color (FITC/PE/PECy5/APC) stained specimen.

RESULTS

Percentage and cellular density of cell-subsets is quantified in different microanatomical regions of the specimen. These data were highly correlated with manual scoring of identical specimens (r(2) = 0.96, P < 0.0001). With LSC, semiautomated operator-independent immunophenotyping in tissue sections of lymphatic organs with up to three antibodies simultaneously is possible.

CONCLUSIONS

We expect this tissue cytometric approach to yield new insight into processes during diseases and help to quantify the success of therapeutic interventions.