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Experience with the Athena semi-automated karyotyping system.

The traditional analysis and assembly of metaphase chromosomes into a karyogram is a slow and tedious process requiring intermediate photographic steps and manual manipulation of the chromosome images. Much of this task is highly repetitive and readily lends itself to partial automation. Semi-automated karyotyping systems now are being used increasingly in both clinical and research cytogenetic laboratories. Digital image processing techniques are used to capture, manipulate, and make an initial classification of chromosome images. The Athena system uses commercially available components based on a Macintosh II personal computer. Digital image processing procedures automatically isolate chromosome images from the metaphase and arrange them into a karyogram, using information about relative chromosome length, centromeric index, and banding pattern. The operator uses the intuitive graphics interface of the Macintosh computer to monitor each phase of the analysis, to resolve any problems in isolating chromosome images, and to rearrange the individual chromosome images while assembling the final karyogram. Athena is designed as a semi-automated karyotyping system that is easy to learn and has sufficient power and versatility for routine use in the analysis of human metaphase chromosomes.

Humans↗

Selective cloning of hybridoma cells for enhanced immunoglobulin production using flow cytometric cell sorting and automated laser nephelometry.

Techniques for selective cloning of murine hybridoma cells by flow cytometric cell sorting and use of automated laser nephelometry to determine the resultant clones' immunoglobulin secretion levels are described. Using a commercially available attachment to a fluorescence-activated cell sorter, individual hybridoma cells were successfully distributed into microtiter wells in an automated manner based on their forward angle light scatter properties and their reaction to fluorescein-conjugated anti-mouse-IgG. The techniques were used to estimate successfully the frequency of immunoglobulin-secreting cells in established cultures. In addition, heterogeneity of cell surface immunoglobulin expression was observed and utilized as a criterion for flow sorting of new hybridoma variants. In these studies, clones derived from high (anti-IgG) intensity sorting regions yielded cultures with enhanced immunoglobulin secretion levels, as determined by automated laser nephelometry. Furthermore, the surface immunoglobulin phenotype of the derived clones was conserved in subsequent progeny. Finally, it was established that inclusion of propidium iodide in the hybridoma cell sorting mixtures improved cloning efficiency by facilitating enhanced discrimination and elimination of nonviable cells. Our results indicate that flow cytometric-assisted single cell deposition provides positive attributes of several traditional hybridoma cloning techniques and, in addition, furnishes a tool for steering the cloning process toward selection of enhanced immunoglobulin producing cultures.

Animals↗

Automated image cytometry for detection of rare, viral antigen-positive cells in peripheral blood.

A cell detection method based upon automated screening is described for recognition of low frequencies (1 in 100,000) of immuno-enzymatically labelled white blood cells in human peripheral blood. The used image cytometry instrumentation (LEYTAS) includes a wide-field, fully automated microscope (Autoplan) and a modular image analysis computer (MIAC), both from Leica, Wetzlar, Germany. The MIAC contains image boards for optimum use of mathematical morphology algorithms. Communication with the MIAC is via a personal computer. Programs for automated cell analysis have been written in C language. Main features of the system are fast analysis of large microscope fields including a count of all cells, selection of objects of interest (alarms), and display of digitally stored images of these alarms. We tested this system for the detection of white blood cells expressing antigen of cytomegalovirus (pp65) in 50 human blood smears from kidney transplant recipients. Immuno-enzymatic (peroxidase) staining was performed with DAB and counterstaining with hematoxylin. For determination of the sensitivity, a series of dilutions of a positive sample with a negative sample was performed. The lowest frequency detected was 1 antigen-positive cell/3 x 10(5) antigen-negative cells. Screening time was about 60 min for one million cells.

Algorithms↗

Automated counting of mammalian cell colonies by means of a flat bed scanner and image processing.

BACKGROUND: Clonogenic assays are used frequently to measure the cell killing and mutagenic effects of radiation and other agents. Clonogenic assays carried out manually are tedious and time-consuming and involve a significant element of subjectivity. However, several commercial automatic colony counters are available. Based on CCD video imaging and image analysis they are relatively expensive and can analyze only one petri dish at a time. METHOD: We have developed a cheaper and more efficient device, which employs a flat bed scanner to image 12 60-mm petri dishes at a time. Two major problems in automated colony counting are the clustering of colonies and edge effects. By using standard image analysis and implementing an inflection point algorithm, these problems were greatly diminished. The resulting system was compared with two manual colony counts, as well as with automated counts with the Oxford Optronix ColCount colony counter for cell lines V79 and HaCaT. RESULTS: Comparisons assuming the manual counts to be correct showed that our automatic counter was slightly more accurate than the commercial unit. CONCLUSIONS: As a whole, our automated colony counter performed significantly better than the commercial unit with regard to processing time, cost and accuracy.

Algorithms↗

Automated detection of tunneling nanotubes in 3D images.

BACKGROUND: This paper presents an automated method for the identification of thin membrane tubes in 3D fluorescence images. These tubes, referred to as tunneling nanotubes (TNTs), are newly discovered intercellular structures that connect living cells through a membrane continuity. TNTs are 50-200 nm in diameter, crossing from one cell to another at their nearest distance. In microscopic images, they are seen as straight lines. It now emerges that the TNTs represent the underlying structure of a new type of cell-to-cell communication. METHODS: Our approach for the identification of TNTs is based on a combination of biological cell markers and known image processing techniques. Watershed segmentation and edge detectors are used to find cell borders, TNTs, and image artifacts. Mathematical morphology is employed at several stages of the processing chain. Two image channels are used for the calculations to improve classification of watershed regions into cells and background. One image channel displays cell borders and TNTs, the second is used for cell classification and displays the cytoplasmic compartments of the cells. The method for cell segmentation is 3D, and the TNT detection incorporates 3D information using various 2D projections. RESULTS: The TNT- and cell-detection were applied to numerous 3D stacks of images. A success rate of 67% was obtained compared with manual identification of the TNTs. The digitalized results were used to achieve statistical information of selected properties of TNTs. CONCLUSION: To further explore these structures, automated detection and quantification is desirable. Consequently, this automated recognition tool will be useful in biological studies on cell-to-cell communication where TNT quantification is essential.

Algorithms↗

Novel use of the BD FACS SPA to automate custom monoclonal antibody panel preparations for immunophenotyping.

BACKGROUND: The effective and accurate diagnosis of hematologic malignancies relies on flow cytometric immunophenotyping. Selected combinations of monoclonal antibodies (mAbs) arranged in multicolor panels allow for the accurate definition of normal and abnormal hematologic cell populations. The most time-consuming and crucial step in the staining process involves dispensing combinations of multiple mAbs into their appropriate staining tubes. This step is prone to error, requires concentration and accuracy, and is dependent on technologist experience. The Becton Dickinson BioScience (BD) FACS Sample Prep Assistant (SPA) is touted as a breakthrough in automated in vitro diagnostic sample preparation. The SPA is designed to automate BD MultiTESk and BD TriTest lyse/no-wash assays. However, because most cases in our laboratory require tedious application of unique four-color mAb cocktails for leukemia and lymphoma testing, we wondered whether the SPA would be helpful in accurately dispensing these mixtures. METHODS: The mAb panels were prepared by the SPA in two separate timed runs and on separate days. Eleven specimens (nine from patients and two from normal volunteers) were split and stained with four-color cocktails created by the SPA or manually. The percentage of positive (%P) cells and mean fluorescent intensity for each mAb pair were determined. These values were plotted against each other and correlation values were calculated. To quantitate timesaving in the laboratory, two technologists prepared individually the same mAb panels and were timed. RESULTS: The correlation between the two methods was high; r(2) was 0.988 for 158 %P antigen pairs; no bias between the manual and robotic methods was detected with the Wilcoxon rank test. Bland-Altman analysis indicated no obvious relation between the difference and the mean of %P cells, suggesting that the SPA successfully dispensed antibodies for leukemia/lymphoma panels. The two methods may be interchangeable, although the limited sample size prohibits this conclusion from Bland-Altman statistics alone. In addition, one possible error was detected in the SPA-prepared panels. The SPA averaged 65 min/run, the experienced technologist 12.95 min/run, and the inexperienced technologist 54.9 min/run. CONCLUSIONS: SPA dispensing time was twice the average manual dispensing time; however, SPA use was completely automated and freed the technologist to perform other tasks. SPA use permitted preemptive preparation of mAb panels and thus streamlined processing; however, the cost of the assay and the amount of reagent waste increased. It is certain that software modifications by BD could decrease the SPA reagent dispense time and decrease the cost associated with reagent waste when the SPA is used in this novel fashion.

Antigens, CD↗

Applications of an automated apparatus for two-dimensional electrophoresis, Model TEP-1, for microsequence analyses of proteins.

Two-dimensional electrophoresis has become a rapid and powerful separation method for the preparation of samples for sequence analysis depending on the development of automated microsequencers accompanied by a blotting technique. We have constructed an automated apparatus for two-dimensional electrophoresis, Model TEP-1, which allows precise analytical runs under computer-control with a fully automated transfer from the first- to the second-dimensional gel. In the present paper we describe several applications of TEP-1 followed by blotting and sequencing to reveal the primary structure of proteins in a complex mixture. Several known and unknown proteins were analyzed. Enzymatic digests of proteins could be directly applied onto the TEP-1, in which a gel of lower molecular weight proteins was used as the second dimension. Subsequent blotting and sequencing provided internal sequence information. The use of TEP-1, followed by blotting, provides spots containing ca. 10-100 pmol protein. These figures permitted the identification of 10-40 amino acid residues from the N-terminus. The TEP-1 provides a simple and rapid separation of complex mixtures obtained from natural sources and chemical, biological or genetic products.

Amino Acid Sequence↗

High-throughput sodium dodecyl sulfate polyacrylamide gel electrophoresis by linking conventional gel plates with automated liquid handler via Gel Adaptor.

The automation of SDS-PAGE required substantial investment. To lower this barrier, we devised a cost-effective, simple, and general method where samples are loaded on SDS-PAGE gels held by a newly devised "Gel Adaptor" on a general automated liquid handler. In this method, the liquid handler loads samples on the SDS-PAGE gels held at an angle of 80 degrees on the Gel Adaptor so that the samples can be vertically loaded on the narrow paths of the wells of the slanted gels. This method allows the automated liquid handler to load 144 samples on SDS-PAGE gels in approximately 10 min, greatly reducing the time and cost for high-throughput SDS-PAGE analyses.

Electrophoresis, Polyacrylamide Gel↗

Automated integration of monolith-based protein separation with on-plate digestion for mass spectrometric analysis of esophageal adenocarcinoma human epithelial samples.

A unique approach of automating the integration of monolithic capillary HPLC-based protein separation and on-plate digestion for subsequent MALDI-MS analysis has been developed. All liquid-handling procedures were performed using a robotic module. This automated high-throughput method minimizes the amount of time and extensive labor required for traditional in-solution digestion followed by exhaustive sample cleanup and analysis. Also, precise positioning of the droplet from the capillary HPLC separation onto the MALDI plate allows for preconcentration effects of analytes for improved sensitivity. Proteins from primary esophageal Barrett's adenocarcinoma tissue were prefractionated by chromatofocusing and analyzed successfully by this automated configuration, obtaining rapid protein identifications through PMF and sequencing analyses with high sequence coverage. Additionally, intact protein molecular weight values were obtained as a means to further confirm protein identification and also to identify potential sequence modifications of proteins. This simple and rapid method is a highly versatile and robust approach for the analysis of complex proteomes.

Adenocarcinoma↗

Logistics of automated plasma collection.

Plasmapheresis is widely carried out to produce plasma for fractionation. Production of Factor VIII and albumin, two proteins in plasma, drives the plasma industry. The Canadian Red Cross would like to achieve national self-sufficiency in plasma production to meet the rising demands for these proteins in the next 4 years. In order to achieve this goal we must make efficient use of our automated plasmapheresis machines and available human resources to produce a cost-effective plasma product. An assessment was undertaken at the Ottawa Centre to evaluate the number of procedures which could be performed on each machine per day and the staff required to operate these machines safely and efficiently. Donor availability, reliability and reasons for donating plasma were recorded to determine if our population could support such an escalated programme. Donor/staff interest and acceptance of automated equipment was determined. The results showed that four automated plasmapheresis devices could be operated by one nurse and one clinic assistant processing 32 donors a day with an average time of 27 min required for a 500-ml donation of plasma. The donor population was available and extremely interested; however, the logistics of scheduling proved to be an area for concern requiring special attention.

Autoanalysis↗

Automated method for determining calcium disodium edetate in iodinated contrast media parenterals.

An automated method, based on the chelating reaction of calcium disodium edetate with zirconium and the subsequent determination of excess zirconium reacted with xylenol orange, was developed. The procedure is applicable to parenterals consisting of iodinated contrast media. Familiar modules of an automated analyzer were used, but the method can be performed manually if the sample load does not warrant automation. The pH should be controlled between 0.3 and 0.5. No interferences were encountered. Twenty samples per hour can be run on prepared sample solutions. The precision of a single determination, at the 95% confidence level was plus or minus 0.008 mg/ml with a limit of detection near 0.40 mg/ml.

Autoanalysis↗

Determination of flurbiprofen and ibuprofen in dog serum with automated sample preparation.

Methods for the determination of flurbiprofen and ibuprofen in dog serum were developed using high-performance liquid chromatography and automated serum extraction. Sample extraction was automated by use of cartridges packed with a styrene-divinylbenzene macroreticular resin in a microprocessor-controlled centrifugal system. The average recoveries were 98.9% for flurbiprofen and 94.5% for ibuprofen. The limits of detection were approximately 0.04 microgram/ml for flurbiprofen at 254 nm and 0.5 microgram/ml for ibuprofen at 230 nm. The relative standard deviations for the determination of a laboratory standard between days was 2.4% (20 microgram/ml) for flurbiprofen and 1.7% (13 microgram/ml) for ibuprofen. Peak height ratios were linear with concentrations of 0.04--100 microgram/ml for flurbiprofen and 1.0-50 microgram/ml for ibuprofen. These methods are simple, rapid, sensitive, and specific. The use of an automated sample preparation procedure improved the between-day precision by a factor of two when compared to a manual extraction procedure. These methods were applied to bioavailability studies in dogs.

Animals↗

Automated robotic extraction and subsequent analysis of diclofenac in plasma samples.

Diclofenac sodium (Voltaren;sodium[O-(2,6-dichloroanilino)phenyl]acetate), an effective, well-tolerated anti-inflammatory agent, is almost completely metabolized in humans and animals. The present article describes an automated procedure involving liquid-liquid extraction and subsequent HPLC analysis to determine unchanged diclofenac in human plasma. This procedure offers several advantages over current manual GC and HPLC methods. The transfer of the original manual procedure to an automated robotic system, with custom-made modules for solvent evaporation and HPLC injection, is described, and a comparison between the manual and automated procedure is drawn. The robotic method gave satisfactory accuracy and precision in the range of 0.02 to 3 micrograms/mL, with a quantitation limit of 0.02 micrograms/mL.

Autoanalysis↗

Automated on-line comprehensive two-dimensional LC x GC and LC x GC-ToF MS: instrument design and application to edible oil and fat analysis.

After a successful off-line feasibility study, the automation of comprehensively coupled liquid chromatography and gas chromatography (LC x GC) has been studied. Important aspects to consider when developing automated LG x GC include the relative speeds of the two dimensions, the compatibility of the LC eluent (type and flow rate) with the GC dimension, and the column loadabilities. Because the GC separation is relatively slow, the LC instrument has to be operated in the stop-flow mode. Two interfaces for transferring large numbers of subsequent LC fractions to the GC were constructed: one based on a six-port switching valve, and one which uses a dual side-port syringe. Both interfaces were found to perform fully acceptably. The actual transfer of the LC fraction to the GC was realised using a standard split injector to vaporise the compounds and LC eluent. Gas phase splitting was applied to match LC mass load and GC column loadability. The standard deviations of the peak areas obtained in this way were better than 7% (n = 6). The reliability of the system was demonstrated by the problem-free analysis of large series of oil and fat samples, with the focus on both intact triglycerides and their fatty acid methyl esters (FAMEs). Finally, the hyphenation of the automated LC x GC system to a sensitive and rapid-scanning time-of-flight mass spectrometer was realised. By using LC x GC-ToF MS, the information density of the chromatograms could be improved even further, which allowed easy identification of individual compounds as well as compound groups.

Journal Article↗

Design of an automated multicapillary instrument with fraction collection for DNA mutation discovery by constant denaturant capillary electrophoresis (CDCE).

A fundamental goal ingenomics is the discovery of genetic variation that contributes to disease states or to differential drug responses. Single nucleotide polymorphism (SNP) detection has been the focus of much attention in the study of genetic variation over the last decade. These SNPs typically occur at a frequency greater than 1% in the human genome. Recently, low-frequency alleles are also being increasingly recognized as critical to obtain an improved understanding of the correlation between genetic variation and disease. Although many methods have been reported for the discovery and scoringof SNPs, sensitive, automated, and cost-effective methods and platforms for the discovery of low-frequency alleles are not yet readily available. We describe here an automated multicapillary instrument for high-throughput detection of low-frequency alleles from pooled samples using constant denaturant capillary electrophoresis. The instrument features high optical sensitivity (1 x 10(-12) M fluorescein detection limit), precise and stable temperature control (+/- 0.01degrees C), and automation for sample delivery, injection, matrix replacement, and fraction collection. The capillary array is divided into six groups of four capillaries, each of which can be independently set at any temperature ranging from room temperature to 90 degrees C. The key performance characteristics of the instrument are reported.

Antigens, CD↗

Reliable characterization of coffee bean aroma profiles by automated headspace solid phase microextraction-gas chromatography-mass spectrometry with the support of a dual-filter mass spectra library.

This investigation is based on the automated solid phase microextraction GC-MS analysis of the volatile fraction of a variety of coffee bean matrices. Volatile analytes were extracted by headspace (HS)-SPME which was achieved with the support of automated instrumentation. The research was directed towards various important aspects relating to coffee aroma analysis: monitoring of the volatile fraction formation during roasting; chromatographic differentiation of the two main coffee species (Arabica and Robusta) and of a single species from different geographical origins; evaluation of the influence of specific industrial treatments prior to roasting. Reliable peak assignment was carried out through the use of a recently laboratory-constructed "flavour and fragrance" library and a dual-filter MS spectral search procedure. Further emphasis was placed on the automated SPME instrumentation and on its ability to supply highly repeatable chromatographic data.

Coffee↗

Automated single-voxel proton MRS: technical development and multisite verification.

To improve clinical utility, an integrated method has been developed to automatically acquire and process single-voxel in vivo proton spectra on a 1.5 T clinical scanner. This method includes automated adjustment of linear shims using a very rapid modified simplex method, automated water suppression, and applies a water referencing scheme to correct for phase and residual eddy current effects. No operator intervention is required for the acquisition and processing of these pure-absorption spectra. This method was tested in a preliminary multisite trial to determine intersite and intrasite variability of metabolite ratio measurements. In a sample of over 100 examinations, the standard deviation of the ratios NAA:Cr, Cho:Cr, and ml:Cr were found to be under 15% when using this method, a substantially narrower range than has been found in studies relying on manual adjustment of the instrument and/or manual processing. This result indicates that automated setting of acquisition and processing parameters is of critical importance in the clinical application of in vivo spectroscopy.

Algorithms↗

Automated processing for proton spectroscopic imaging using water reference deconvolution.

Automated formation of MR spectroscopic images (MRSI) is necessary before routine application of these methods is possible for in vivo studies; however, this task is complicated by the presence of spatially dependent instrumental distortions and the complex nature of the MR spectrum. A data processing method is presented for completely automated formation of in vivo proton spectroscopic images, and applied for analysis of human brain metabolites. This procedure uses the water reference deconvolution method (G. A. Morris, J. Magn. Reson. 80, 547(1988)) to correct for line shape distortions caused by instrumental and sample characteristics, followed by parametric spectral analysis. Results for automated image formation were found to compare favorably with operator dependent spectral integration methods. While the water reference deconvolution processing was found to provide good correction of spatially dependent resonance frequency shifts, it was found to be susceptible to errors for correction of line shape distortions. These occur due to differences between the water reference and the metabolite distributions.

Artifacts↗