Determination of cell concentration in a plant cell suspension using a fluorescence microplate reader

Microscopic counting of plant cells is a very tedious and time-consuming process and is therefore seldom used to evaluate plant cell number on a routine basis. This study describes a fast and simple method to evaluate cell concentration in a plant cell suspension using a fluorescence microplate reader. Eschscholtzia californica cells were fixed in a mix of methanol and acetic acid (3:1) and stained with a fluorescent DNA binding dye (Hoechst 33258). Readings were done in a fluorescence microplate reader at 360/465 nm. Specific binding of the dye to double-stranded DNA was significantly favored over unspecific binding when 1.0 M Tris buffer at pH 7.5 containing 1.0 M NaCl and 75 microg ml(-1) of Hoechst 33258 was used. Fluorescence readings must be done between 4 min and 12 min following the addition of the staining solution to the sample. The microplate counting method provides a convenient, rapid and sensitive procedure for determining the cell concentration in plant cell suspensions. The assay has a linear detection range from 0.2 x 10(6) cells to 10.0 x 10(6) cells per milliliter (actual concentration in the tested cell suspension). The time needed to perform the microplate counting was 10% of that needed for the microscopic enumeration. However, this microplate counting method can only be used on genetically stable cell lines and on asynchronous cell suspensions.     

Flow-cytometric cell counting and DNA estimation for the study of plant cell population dynamics

A one-step procedure is presented for simultaneous measurement of cell number and DNA content in cultured plant cells by flow cytometry. In order to obtain nuclei representative of the growth stadium of the culture and of all phases of the cell cycle, cells were carefully sampled and immediately fixed. Next, nuclei were isolated by enzymatic and mechanical maceration, and stained with a DNA-specific fluorescent dye. In the resultant preparation, cells can be counted at relative ease by means of a fluorescence microscope. However, flow-cytometric counting appeared to be superior to manual counting since the time needed for flow-cytometric counting was one-fourth that for manual counting and the variance between counts of the samples was significantly less. In addition, from the same routine, accurate DNA distributions were obtained as a second important parameter of the population dynamics.     

Counting human neural stem cells

Knowledge of the exact number of viable cells in a given volume of a cell suspension is required for many routine tissue culture manipulations, such as plating cells for immunocytochemistry or for cell transfections. This protocol describes a straightforward and fast method for differentiating between live and dead cells and quantifying the cell concentration and total cell number using a hemacytometer. This procedure first requires detaching cells from a growth surface and resuspending them in media. Next, the cells are diluted in a solution of Trypan blue (ideally to a concentration that will give 20-50 cells per quadrant) and placed in the hemacytometer. Finally, averaging the counts of viable cells in several randomly selected quadrants, dividing the average by the volume of one 1 mm(2) quadrant (0.1 microl) and multiplying by the dilution factor gives the number of cells per l. Multiplying this cell concentration by the total volume in microl gives the total cell number. This protocol describes counting human neural stem/precursor cells (hNSPCs), but can also be used for many other cell types.     

Influence of fixation and immunohistological technique on accuracy, precision and inter-observer reproducibility of plasma cell counting.

Recently two highly sensitive and specific diagnostic criteria for Sj?gren's syndrome based on percentages of IgA-, IgG-, and IgM-containing plasma cells measured in immunohistologically stained labial salivary gland tissue have been described. The reliability of such a criterion is dependent on the accuracy, precision and inter-observer reproducibility in plasma cell counting. The present study evaluates the effect of tissue fixation and immunohistological procedures on the aforementioned factors. Immunoglobulin (Ig)-containing plasma cells in sections of lamellated submandibular salivary gland tissue, alternately fixed in a 4% buffered formol solution or formol-sublimate solution and stained with an indirect immunoperoxidase and unlabelled peroxidase anti-peroxidase (PAP) method respectively, were enumerated by three independent observers. Relative numbers of Ig-containing plasma cells appeared to be less sensitive for systematic errors due to tissue fixation and immunohistological procedure than absolute numbers of Ig-containing plasma cells. The best inter-observer reproducibility of plasma cell counts was obtained in sections from formol sublimate-fixed specimens stained according to the PAP procedure.     

Quantitative analysis of disseminated tumor cells in the bone marrow by automated fluorescence image analysis

Accurate quantification of disseminated tumor cells in hematological samples is of fundamental importance in clinical oncology. However, even highly standardized protocols allow only a rough estimation of the total analyzed cell number, as sample processing may have adverse effects on the number of cells available for analysis. The fluorescence-based microscopic scanning system (MetaCyte) detects, counts, captures, and relocates immunolabeled tumor cells in hematopoietic samples. We report on a cell-counting approach that has been implemented into the scanning system to precisely quantify the number of cells per slide. The cell-counting function, which was designed to determine the number of all nucleated (DAPI-stained) cells on the slide, allows an accurate counting of the tumor cells and the total number of cells analyzed in the given microscopic sample. The reliability of the cell-counting approach was demonstrated by the analysis of DAPI-stained images with 18-1,363 nucleated cells. A good correlation (r(2) = 0.965) between the manually and automatically gained results was observed. The counting accuracy could even be optimized after implementing a correction factor. To prove or disprove an interslide variation, routine bone marrow cytospin preparations from neuroblastoma patients were immunostained for GD2/FITC and counterstained with DAPI. Automatic cell counting of cytospin preparations from the same patients showed significant differences in the total cell number (up to 67% cell loss during preparation, with a maximum interslide difference of 4.7 x 10(5) mononuclear cells). We conclude that determination of the tumor cell content in hematopoietic samples is only reliable when it is performed together with accurate cell counting.     

A method for the enumeration of bacterial adhesion to epithelial cells using image analysis

Abstract Computerised image analysis was utilised to enumerate the attachment of Staphylococcus epidermidis to HEp2 cell monolayers. A differential staining technique was employed such that individual staphylococcal cells stood out in sharp contrast against the uneven cell surface and granular contents of the epithelial cells. The primary image analysis operation involved subtracting an out-of-focus image from an in-focus image of the bacteria on the monolayer, thereby accentuating the bacterial image. Enumeration, using a particle counting routine, was rapid and reproducible, facilitating counting in excess of 700 bacteria per field at ×500 magnification. The computerised programme compared favourably with manual counting and would provide a rapid, objective and morphologically discriminatory method for evaluating bacterial attachment to various tissues.     

Automated counting of human tumour colonies in the Courtenay-Mills assay system

A procedure for using the Omnicon automated image analysis system for counting colonies grown from a human tumour cell line (COLO 205) in the Courtenay-Mills assay is described. This involves the transfer of the agar medium from culture tubes into petri dishes. Comparisons of observer and instrument counts were done on a blinded basis. Run-to-run correlation coefficient was 0.996 for automated counting and the inter-observer correlation coefficient was 0.984. Both assessments showed a linear relationship between the number of cells plated and the number of colonies grown. Automated colony counting is fast, reliable and provides additional information on colony size distribution, not obtainable with manual counting. This automated procedure will greatly facilitate in vitro drug sensitivity evaluation.     

Determination of Mammalian Cell Counts,Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Particle and cell counting is used for a variety of applications including routine cell culture, hematological analysis, and industrial controls^1-5. A critical breakthrough in cell/particle counting technologies was the development of the Coulter technique by Wallace Coulter over 50 years ago. The technique involves the application of an electric field across a micron-sized aperture and hydrodynamically focusing single particles through the aperture. The resulting occlusion of the aperture by the particles yields a measurable change in electric impedance that can be directly and precisely correlated to cell size/volume. The recognition of the approach as the benchmark in cell/particle counting stems from the extraordinary precision and accuracy of its particle sizing and counts, particularly as compared to manual and imaging based technologies (accuracies on the order of 98% for Coulter counters versus 75-80% for manual and vision-based systems). This can be attributed to the fact that, unlike imaging-based approaches to cell counting, the Coulter Technique makes a true three-dimensional (3-D) measurement of cells/particles which dramatically reduces count interference from debris and clustering by calculating precise volumetric information about the cells/particles. Overall this provides a means for enumerating and sizing cells in a more accurate, less tedious, less time-consuming, and less subjective means than other counting techniques⁶.Despite the prominence of the Coulter technique in cell counting, its widespread use in routine biological studies has been prohibitive due to the cost and size of traditional instruments. Although a less expensive Coulter-based instrument has been produced, it has limitations as compared to its more expensive counterparts in the correction for "coincidence events" in which two or more cells pass through the aperture and are measured simultaneously. Another limitation with existing Coulter technologies is the lack of metrics on the overall health of cell samples. Consequently, additional techniques must often be used in conjunction with Coulter counting to assess cell viability. This extends experimental setup time and cost since the traditional methods of viability assessment require cell staining and/or use of expensive and cumbersome equipment such as a flow cytometer.The Moxi Z mini automated cell counter, described here, is an ultra-small benchtop instrument that combines the accuracy of the Coulter Principle with a thin-film sensor technology to enable precise sizing and counting of particles ranging from 3-25 microns, depending on the cell counting cassette used. The M type cassette can be used to count particles from with average diameters of 4 - 25 microns (dynamic range 2 - 34 microns), and the Type S cassette can be used to count particles with and average diameter of 3 - 20 microns (dynamic range 2 - 26 microns). Since the system uses a volumetric measurement method, the 4-25 microns corresponds to a cell volume range of 34 - 8,180 fL and the 3 - 20 microns corresponds to a cell volume range of 14 - 4200 fL, which is relevant when non-spherical particles are being measured. To perform mammalian cell counts using the Moxi Z, the cells to be counted are first diluted with ORFLO or similar diluent. A cell counting cassette is inserted into the instrument, and the sample is loaded into the port of the cassette. Thousands of cells are pulled, single-file through a "Cell Sensing Zone" (CSZ) in the thin-film membrane over 8-15 seconds. Following the run, the instrument uses proprietary curve-fitting in conjunction with a proprietary software algorithm to provide coincidence event correction along with an assessment of overall culture health by determining the ratio of the number of cells in the population of interest to the total number of particles. The total particle counts include shrunken and broken down dead cells, as well as other debris and contaminants. The results are presented in histogram format with an automatic curve fit, with gates that can be adjusted manually as needed.Ultimately, the Moxi Z enables counting with a precision and accuracy comparable to a Coulter Z2, the current gold standard, while providing additional culture health information. Furthermore it achieves these results in less time, with a smaller footprint, with significantly easier operation and maintenance, and at a fraction of the cost of comparable technologies.     

Using the Microcyte flow cytometer to monitor cell number, viability, and apoptosis in mammalian cell culture

The Microcyte is a novel, portable flow cytometer based on diode laser technology whose use has been established for yeast and bacterial analysis. We present data that demonstrate its suitability for routine mammalian cell counting and viability determination. To extend its range of applications in the field of animal cell culture biotechnology, a test to determine the number of apoptotic cells present has been developed for use with the instrument. Apoptosis was induced in hybridoma cell cultures by treatment with camptothecin. Apoptotic cells were labeled with biotinylated Annexin V and then visualized using a streptavidin-allophycocyanin conjugate. Their numbers were counted, and the cell size of the apoptotic cell population was determined using the Microcyte.     

Cell identification and sizing using digital image analysis for estimation of cell biomass in High Rate Algal Ponds

Current environmental concerns make estimation of microbial biomass apriority for monitoring purposes and to advance scientific understanding. Thispaper considers problems associated with algal cell imaging and measurement forcell biomass estimation in samples from high rate algal ponds. In a complexsystem, the only way of measuring microbial activity is to measure theindividual cells and estimate biovolumes. Accurate biomass determinationsdemanddirect microscopic counting and measurement of the sizes of individualmicrobialcells taken from known volumes of water. The system used for routinemeasurementat the laboratory where the images were generated, based on standard microscopeequipment, is only suitable for treatment of well dispersed specimens.Differential interference contrast (DIC) microscopy, on the other hand, offersthe best solution for optical enhancement of cell contrast, and produces animage with well defined edges, yet presents a great challenge to routine cellidentification by digital image analysis, owing to the bas-relief type imageproduced. The paper outlines several image analysis methods developedspecifically for this purpose, and presents illustrative results.     

The automation of cytochemical methods for automated cytophotometers.

The development of an automated differential white blood cell counter is reviewed. After the red cells have been lysed, the white cells are counted by staining and passing through an electro-optical chamber in liquid suspension, surrounded by a laminar, or sheath, stream. Staining procedures were made specific for each type of leukocyte, and separate channels were used for counting each type. Staining intensity and characteristics of the various types of blood cells are discussed. They relate to enzyme levels and the effect on differentiation and identification of the cells. Since reasons for some of the design features are not obvious, discussion of the relevant problems is included. Several applications that go beyond routine differential counting are described.     

Machine learning‐based automated fungal cell counting under a complicated background with ilastik and ImageJ

Measuring the concentration and viability of fungal cells is an important and fundamental procedure in scientific research and industrial fermentation. In consideration of the drawbacks of manual cell counting, large quantities of fungal cells require methods that provide easy, objective and reproducible high‐throughput calculations, especially for samples in complicated backgrounds. To answer this challenge, we explored and developed an easy‐to‐use fungal cell counting pipeline that combined the machine learning‐based ilastik tool with the freeware ImageJ, as well as a conventional photomicroscope. Briefly, learning from labels provided by the user, ilastik performs segmentation and classification automatically in batch processing mode and thus discriminates fungal cells from complex backgrounds. The files processed through ilastik can be recognized by ImageJ, which can compute the numeric results with the macro ‘Fungal Cell Counter’. Taking the yeast Cryptococccus deneoformans and the filamentous fungus Pestalotiopsis microspora as examples, we observed that the customizable software algorithm reduced inter‐operator errors significantly and achieved accurate and objective results, while manual counting with a haemocytometer exhibited some errors between repeats and required more time. In summary, a convenient, rapid, reproducible and extremely low‐cost method to count yeast cells and fungal spores is described here, which can be applied to multiple kinds of eucaryotic microorganisms in genetics, cell biology and industrial fermentation.     

Use of the FlowCAM for semi-automated recognition and enumeration of red tide cells (Karenia brevis) in natural plankton samples

Early detection is the most effective way to mitigate the effects of harmful algal blooms (HAB). Cell counts based on examination of microplankton samples using settling chambers and visual inspection with an inverted microscope are tedious and time consuming, and counting precision is generally poor at low cell densities. The FlowCAM is a continuous imaging flow cytometer designed to characterize particles in the microplankton size range (20–200 μm diameter). In this study we examined the ability of the FlowCAM to improve routine monitoring protocols for HAB species by automatically recording information on size and fluorescence per cell. This will eliminate the need to examine cells outside the ranges of these measurements for our target species, Karenia brevis. We also tested the ability of image comparison software to match images of cells in mixed assemblages to images of the target species. For simple mixtures of cultured dinoflagellates, the ability of the image matching software to discriminate target cells varied greatly depending on how similar the two species were in size and shape. When target cells were added to natural plankton samples, the image recognition software correctly identified 80–90% of the target cells, but misidentified 20–50% of non-target cells in the size range of the target species. We conclude that the FlowCAM is less tedious and time-consuming than microscopy, allowing for examination of more cells for greater counting precision. The cell recognition software helps reduce the numbers of cells that must be screened, but images must still be examined by a trained operator to identify the HAB species of interest.     

A Contact-Imaging Based Microfluidic Cytometer with Machine-Learning for Single-Frame Super-Resolution Processing

Lensless microfluidic imaging with super-resolution processing has become a promising solution to miniaturize the conventional flow cytometer for point-of-care applications. The previous multi-frame super-resolution processing system can improve resolution but has limited cell flow rate and hence low throughput when capturing multiple subpixel-shifted cell images. This paper introduces a single-frame super-resolution processing with on-line machine-learning for contact images of cells. A corresponding contact-imaging based microfluidic cytometer prototype is demonstrated for cell recognition and counting. Compared with commercial flow cytometer, less than 8% error is observed for absolute number of microbeads; and 0.10 coefficient of variation is observed for cell-ratio of mixed RBC and HepG2 cells in solution.     

核仁组成区相关嗜银蛋白染色革新法

核仁组成区相关嗜银蛋白（ＡｇＮＯＲ）银染技术已广泛用以研究细胞生长活性,根据ＡｇＮＯＲ数目多少来判定肿瘤的良恶性和对肿瘤进行鉴别诊断。然而ＡｇＮＯＲ技术至今还存在背景非特异性银颗粒沉积问题而影响结果判定。本研究发现影响背景染色结果的主要因素是明胶的质量,采用Ｆａｒｍｅｒ’ｓ液可以清除背景染色,运用微波炉染色不仅可以缩短染色时间而且可以减少银用量。     

The application of flow cytophotometry in measurements of cell adhesion

Summary A common approach to the study of cell substrate interactions is the measurement of the attachment of cells to different substrates or to cultured cell layers. The evaluation of attachment is made either by scintillation counting of previously labelled adhering cells, or by light microscopy using the criterion of cell shape, sometimes refined by automatic image analysis. These methods have many drawbacks. This paper suggests the use of fluorescence-activated flow cytophotometry, (FC) which yields direct counts of the non-adhering cells. These free cells are removed after completion of the adhesion experiment from the microtitre plate wells. An internal standard, in the form of fluorescent polystyrene beads is added, allowing evaluation of the percentage of cells adhering to the well walls. Flow cytophotometry then produces data based on the analysis of large populations of cells. Unequivocal discrimination is obtained between the counted cells and counted fluorescent beads eliminating counting errors. The results can be processed on line by computer.A suspension of mouse splenocytes was used for the evaluation of the overall error of the method arising from maccuracies in pipetting, interference of glutaraldehyde with ethidium bromide (EB) staining and instrumental error. Each adhesion experiment was terminated by staining and post-fixation and it was established that this introduces no change in cell counting, in comparison with the original unfixed cells. Prefixation, however, quenches the EB staining and would interfere with the counting procedure. The overall standard error of the technique was found to be 5%–10%.A comparison was made of this technique with conventional cell counting by light microscopy, in a study of mouse splenocytes and of myoblasts isolated from 12 day old chicken embryos, Suspensions of these cells and of myoblasts were applied to microtitre plate wells precoated with fibronectin or Concanavalin A (Con A). The specific phase of cell contact was blocked by preincubation of the cells in media containing Con A or -methyl-d-mannoside, and the kinetics of cell attachment to Con A coated surfaces were compared. Claims in the literature for a difference between the fibronectin-type and lectin-type curves were not supported by our results. It was found that the curves for the attachment of both cell types to fibronectin or Con A coated surfaces are similar in shape.The results obtained by the FC technique were evaluated statistically and compared with cell counts obtained by microscopy. The definition of adhering cells is different in flow-cytophotometry (i.e. cells which cannot be removed from wells) from that used in microscopic counting (i.e. cells which have lost their round shape). Nevertheless, the results are found to be parallel which allows us to suggest the use of flowcytophotometry as a routine technique for evaluation of cell adhesion.     

The application of flow cytophotometry in measurements of cell adhesion

A common approach to the study of cell substrate interactions is the measurement of the attachment of cells to different substrates or to cultured cell layers. The evaluation of attachment is made either by scintillation counting of previously labelled adhering cells, or by light microscopy using the criterion of cell shape, sometimes refined by automatic image analysis. These methods have many drawbacks. This paper suggests the use of fluorescence-activated flow cytophotometry, (FC) which yields direct counts of the non-adhering cells. These "free" cells are removed after completion of the adhesion experiment from the microtitre plate wells. An internal standard, in the form of fluorescent polystyrene beads is added, allowing evaluation of the percentage of cells adhering to the well walls. Flow cytophotometry then produces data based on the analysis of large populations of cells. Unequivocal discrimination is obtained between the counted cells and counted fluorescent beads eliminating counting errors. The results can be processed on line by computer. A suspension of mouse splenocytes was used for the evaluation of the overall error of the method arising from inaccuracies in pipetting, interference of glutaraldehyde with ethidium bromide (EB) staining and instrumental error. Each adhesion experiment was terminated by staining and post-fixation and it was established that this introduces no change in cell counting, in comparison with the original unfixed cells. Prefixation, however, quenches the EB staining and would interfere with the counting procedure. The overall standard error of the technique was found to be 5%-10%.(ABSTRACT TRUNCATED AT 250 WORDS)     

Green fluorescent protein-propidium iodide (GFP-PI) based assay for flow cytometric measurement of bacterial viability.

BACKGROUND: Several staining protocols have been developed for flow cytometric analysis of bacterial viability. One promising method is dual staining with the LIVE/DEAD BacLight bacterial viability kit. In this procedure, cells are treated with two different DNA-binding dyes (SYTO9 and PI), and viability is estimated according to the proportion of bound stain. SYTO9 diffuses through the intact cell membrane and binds cellular DNA, while PI binds DNA of damaged cells only. This dual-staining method allows effective separation between viable and dead cells, which is far more difficult to achieve with single staining. Although SYTO9-PI dual staining is practical for various bacterial viability analyses, the method has a number of disadvantages. Specifically, the passage of SYTO9 through the cell membrane is a slow process, which is significantly accelerated when the integrity of the cell membrane is disrupted. As a result, SYTO9 binding to DNA is considerably enhanced. PI competes for binding sites with SYTO9 and may displace the bound dye. These properties diminish the reliability of the LIVE/DEAD viability kit. In this study, we investigate an alternative method for measuring bacterial viability using a combination of green fluorescent protein (GFP) and PI, with a view to improving data reliability. METHODS: Recombinant Escherichia coli cells with a plasmid containing the gene for jellyfish GFP were stained with PI, and green and red fluorescence were measured by FCM. For comparison, cells containing the plasmid from which gfp was removed were stained with SYTO9 and PI, and analyzed by FCM. Viability was estimated according to the proportion of green and red fluorescence. In addition, bioluminescence and plate counting (other methods to assess viability) were used as reference procedures. RESULTS: SYTO9-PI dual staining of bacterial cells revealed three different cell populations: living, compromised, and dead cells. These cell populations were more distinct when the GFP-PI combination was used instead of dual staining. No differences in sensitivity were observed between the two methods. However, substitution of SYTO9 with GFP accelerated the procedure. Bioluminescence and plate counting results were in agreement with flow cytometric viability data. CONCLUSIONS: In bacterial viability analyses, the GFP-PI combination provided better distinction between current viability stages of E. coli cells than SYTO9-PI dual staining. Additionally, the overall procedure was more rapid. No marked differences in sensitivity were observed.     

AN IMPROVED METHOD OF CELL ENUMERATION FOR FILAMENTOUS ALGAE AND BACTERIA1

A new simple method for estimating the number of individual cells per milliliter in suspensions of filamentous microorganisms is described. This 2-part procedure utilizes a standard microscopic counting chamber and is independent of filament length or individual cell size. A statistical analysis of the method is also presented.     

Sedgwick-rafter cell counts: a procedural analysis

Information in the existing literature on some aspects of the collection and statistical analysis of Sedgwick-Rafter cell data appears contradictory, confusing, or absent. Using data from an experimental phytoplankton population as a basis, an investigation of S-R cell procedure has been undertaken with the following conclusions: I) settling time depends upon the type of preservation and the composition of the sample; 2) the field counting technique gives more accurate data and is less time consuming than the strip counting technique; 3) making fewer counts on each of a greater number of S-R cells gives more accurate results than making a greater number of counts on one or several S-R cells; 4) nonparametric methods offer a more convenient and nearly as efficient a means of detecting statistically significant differences as compared with parametric methods. A method is presented for optimally allocating counts within and among S-R cells for getting an estimator with the greatest precision in the least time.