Evaluation of counting error due to colony masking in bioaerosol sampling.

Colony counting error due to indistinguishable colony overlap (i.e., masking) was evaluated theoretically and experimentally. A theoretical model to predict colony masking was used to determine colony counting efficiency by Monte Carlo computer simulation of microorganism collection and development into CFU. The computer simulation was verified experimentally by collecting aerosolized Bacillus subtilis spores and examining micro- and macroscopic colonies. Colony counting efficiency decreased (i) with increasing density of collected culturable microorganisms, (ii) with increasing colony size, and (iii) with decreasing ability of an observation system to distinguish adjacent colonies as separate units. Counting efficiency for 2-mm colonies, at optimal resolution, decreased from 98 to 85% when colony density increased from 1 to 10 microorganisms cm-2, in contrast to an efficiency decrease from 90 to 45% for 5-mm colonies. No statistically significant difference (alpha = 0.05) between experimental and theoretical results was found when colony shape was used to estimate the number of individual colonies in a CFU. Experimental colony counts were 1.2 times simulation estimates when colony shape was not considered, because of nonuniformity of actual colony size and the better discrimination ability of the human eye relative to the model. Colony surface densities associated with high counting accuracy were compared with recommended upper plate count limits and found to depend on colony size and an observation system's ability to identify overlapped colonies. Correction factors were developed to estimate the actual number of collected microorganisms from observed colony counts.(ABSTRACT TRUNCATED AT 250 WORDS)     

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.     

Differences in estimates of cisplatin-induced cell kill in vitro between colorimetric and cell count/colony assays

Summary The aim of this study was to evaluate some bioassays that are different in principle: cell counting, colony forming assay, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide (MTT), sulforhodamine B (SRB), crystal violet, and alamarBlue, with respect to their ability to measure cisplatin-induced cell death of in vitro-cultivated squamous cell carcinoma of the head and neck (SCCHN). Cisplatin was applied in concentrations of 1.0, 5.0, 10.0, 50.0, and 100 μM. The cells were incubated for 1 h, and the cell survival was measured 5 d after treatment. We found the colorimetric assays and cell counting to be comparable. The colony forming assay indicated a higher degree of cell kill compared with the other techniques. Measurement of cell survival after treatment with cisplatin can be done by use of any of the above tested assays. However, the majority of SCCHN cell lines available do not form colonies easily, or at all. Therefore, comparing the chemosensitivity between such cell lines is limited to alternative assays. In this respect, any of the tested colorimetric assays can be used. However, they seem to underestimate cell kill. Cell counting is also an alternative. This technique, however, is time consuming and operator dependent, as in the case of manual counting, or relatively expensive when counting is performed electronically, compared with the colorimetric assays.     

Multiplexing Spheroid Volume,Resazurin and Acid Phosphatase Viability Assays for High-Throughput Screening of Tumour Spheroids and Stem Cell Neurospheres

Three-dimensional cell culture has many advantages over monolayer cultures, and spheroids have been hailed as the best current representation of small avascular tumours in vitro. However their adoption in regular screening programs has been hindered by uneven culture growth, poor reproducibility and lack of high-throughput analysis methods for 3D. The objective of this study was to develop a method for a quick and reliable anticancer drug screen in 3D for tumour and human foetal brain tissue in order to investigate drug effectiveness and selective cytotoxic effects. Commercially available ultra-low attachment 96-well round-bottom plates were employed to culture spheroids in a rapid, reproducible manner amenable to automation. A set of three mechanistically different methods for spheroid health assessment (Spheroid volume, metabolic activity and acid phosphatase enzyme activity) were validated against cell numbers in healthy and drug-treated spheroids. An automated open-source ImageJ macro was developed to enable high-throughput volume measurements. Although spheroid volume determination was superior to the other assays, multiplexing it with resazurin reduction and phosphatase activity produced a richer picture of spheroid condition. The ability to distinguish between effects on malignant and the proliferating component of normal brain was tested using etoposide on UW228-3 medulloblastoma cell line and human neural stem cells. At levels below 10 µM etoposide exhibited higher toxicity towards proliferating stem cells, whereas at concentrations above 10 µM the tumour spheroids were affected to a greater extent. The high-throughput assay procedures use ready-made plates, open-source software and are compatible with standard plate readers, therefore offering high predictive power with substantial savings in time and money.     

Role of accessory cells in the in vitro growth of aggregate-derived murine T-cell colonies

C3H/HeJ lymph node cells (LNC) were seeded in 35-mm petri dishes containing 0.8% methylcellulose, 10% fetal calf serum, 2-mercapthoethanol, and supernatant from PHA or Con A-stimulated spleen cells. After 3–4 days incubation at 37 °C, colonies containing >50 cells appeared. The cells from individual colonies stained with a fluorescent anti-Thy-1 antiserum, and colony formation was prevented by treating the LNC with radiation or anti-T-cell serum + complement before culturing. When fewer than 1?2 × 10⁶ LNC were seeded, the number of colonies formed decreased exponentially; this observation suggested colony formation might require cell-cell interaction. Formation of cellular aggregates could be seen as early as 4–20 hr after plating. Colony formation of 2?5 × 10⁵ LNC was promoted by adding irradiated or anti-T serum + complement-treated LNC, and colony formation was inhibited by carbonyl iron treatment to remove adherent cells. Cell separation by velocity sedimentation showed colony promoting activity was associated with cells sedimenting at 4 mm/hr and also >6 mm/hr. These are properties similar to those of accessory cells that are required for immune responses in vitro and in vivo. Colony formation was also increased in LNC from tumor allograft immune mice, and in the uterine lymph nodes from mice bearing an allogeneic fetus. T-Cell colonies produced by direct plating of LNC in this system arise from proliferation of cellular aggregates, and are primarily a measure of accessory cell activity.     

Automatic cell counting with ImageJ

Cell counting is an important routine procedure. However, to date there is no comprehensive, easy to use, and inexpensive solution for routine cell counting, and this procedure usually needs to be performed manually. Here, we report a complete solution for automatic cell counting in which a conventional light microscope is equipped with a web camera to obtain images of a suspension of mammalian cells in a hemocytometer assembly. Based on the ImageJ toolbox, we devised two algorithms to automatically count these cells. This approach is approximately 10 times faster and yields more reliable and consistent results compared with manual counting.     

Contaminating insert degradation by preincubation colony PCR: a method for avoiding false positives in transformant screening

Colony PCR is a convenient alternative to conventional plasmid isolation and restriction digestion for high-throughput screening of recombinant colonies. However, an insert carryover from the ligation mix, adhered to colony or agar plate, generates a substantial number of false positives. To avoid this, a simple single-tube technique involving pre-PCR nuclease incubation has been developed by optimizing a buffer system that provides nuclease action and PCR amplification sequentially. Results presented in this work provide a technique that is amenable for high-throughput screening of recombinant colonies.     

COLONY FORMATION IN AGAR: IN VITRO ASSAY FOR HAEMOPOIETIC STEM CELLS

Using a method in which embryo fibroblasts were used as feeder layers, the colony forming capacity in agar of a variety of mouse haemopoietic suspensions was compared with their CFU s content. A striking parallelism between the results of the two assays was found. In addition, under certain conditions higher numbers of CFU s could be retrieved from 5-day-old agar colonies than were originally plated, indicating that the CFC a (Colony Forming Cell agar) may fulfil the requirements of pluripotency as well as of self-renewal, both prerequisites for any haemopoietic stem cell candidate. Although our data by no means provide direct proof that the CFC s and the CFC a are identical, they certainly support such a concept. the contradictory findings by others that CFU s and CFU c (Colony Forming Unit culture) can be separated on a velocity gradient is attributed to different culture conditions, in other words, that their CFU cè are not identical with our CFU a .
Our findings also indicate that for mouse cells our soft agar colony assay meets the criteria of a quantitative assay for haemopoietic stem cells and that extension of this technique to bone marrow of primates including humans seems to be justified.     

Flow cytometric enumeration of colonies for in vitro chemotherapeutic drug evaluation

The percentage of 50-100 micron colonies formed by LX-T cells in medium containing agarose was determined microscopically, and this value was compared with the percentage determined by a flow cytometric method based on the forward and 90 degree light scatter of the colonies. As assessed by both in vitro methods, LX-T cells exposed to chemotherapeutic agents formed fewer colonies as the drug concentration increased. However, flow cytometric analysis indicated that a change in the number of colonies formed was a consequence of changing chemotherapeutic drug concentration, whereas microscopic colony counting did not always detect the corresponding change in colony number. These experiments demonstrate that measurement of a drug's chemotherapeutic potential by flow cytometric counting of colonies is an alternative to the enumeration of colonies microscopically.     

Single-cell microliter-droplet screening system (MISS Cell): An integrated platform for automated high-throughput microbial monoclonal cultivation and picking

Solid plates have been used for microbial monoclonal isolation, cultivation, and colony picking since 1881. However, the process is labor- and resource-intensive for high-throughput requirements. Currently, several instruments have been integrated for automated and high-throughput picking, but complicated and expensive. To address these issues, we report a novel integrated platform, the single-cell microliter-droplet screening system (MISS Cell), for automated, high-throughput microbial monoclonal colony cultivation and picking. We verified the monoclonality of droplet cultures in the MISS Cell and characterized culture performance. Compared with solid plates, the MISS Cell generated a larger number of monoclonal colonies with higher initial growth rates using fewer resources. Finally, we established a workflow for automated high-throughput screening of Corynebacterium glutamicum using the MISS Cell and identified high glutamate-producing strains. The MISS Cell can serve as a universal platform to efficiently produce monoclonal colonies in high-throughput applications, overcoming the limitations of solid plates to promote rapid development in biotechnology.     

Systematic approaches to dissect biological processes in stem cells by image-based screening

High-throughput RNAi or small molecule screens have proven to be powerful methodologies for the systematic dissection of cellular processes. In model organisms and cell lines, large-scale screens have identified key components of many cellular pathways and helped to identify novel targets in disease-relevant pathways. Image-based high-content screening has become an increasingly important tool in high-throughput screening, enabling changes in phenotype characteristics, such as cell morphology and cell differentiation, to be monitored. In this review, we discuss the use of image-based screening approaches to explore the behavior of adult, embryonic, and induced pluripotent stem cells. First, we review how current pluripotency and differentiation assays can be adapted to high-throughput formats. We then describe general aspects of image-based screening of cells and present an outlook on challenges for screening stem cells.     

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.     

Counting pollen grains using readily available, free image processing and analysis software

Background and Aims

Although many methods exist for quantifying the number of pollen grains in a sample, there are few standard methods that are user-friendly, inexpensive and reliable. The present contribution describes a new method of counting pollen using readily available, free image processing and analysis software.

Methods

Pollen was collected from anthers of two species, Carduus acanthoides and C. nutans (Asteraceae), then illuminated on slides and digitally photographed through a stereomicroscope. Using ImageJ (NIH), these digital images were processed to remove noise and sharpen individual pollen grains, then analysed to obtain a reliable total count of the number of grains present in the image. A macro was developed to analyse multiple images together. To assess the accuracy and consistency of pollen counting by ImageJ analysis, counts were compared with those made by the human eye.

Key Results and Conclusions

Image analysis produced pollen counts in 60 s or less per image, considerably faster than counting with the human eye (5–68 min). In addition, counts produced with the ImageJ procedure were similar to those obtained by eye. Because count parameters are adjustable, this image analysis protocol may be used for many other plant species. Thus, the method provides a quick, inexpensive and reliable solution to counting pollen from digital images, not only reducing the chance of error but also substantially lowering labour requirements.     

Determining Cell Number During Cell Culture using the Scepter Cell Counter

Counting cells is often a necessary but tedious step for in vitro cell culture. Consistent cell concentrations ensure experimental reproducibility and accuracy. Cell counts are important for monitoring cell health and proliferation rate, assessing immortalization or transformation, seeding cells for subsequent experiments, transfection or infection, and preparing for cell-based assays. It is important that cell counts be accurate, consistent, and fast, particularly for quantitative measurements of cellular responses.Despite this need for speed and accuracy in cell counting, 71% of 400 researchers surveyed¹ who count cells using a hemocytometer. While hemocytometry is inexpensive, it is laborious and subject to user bias and misuse, which results in inaccurate counts. Hemocytometers are made of special optical glass on which cell suspensions are loaded in specified volumes and counted under a microscope. Sources of errors in hemocytometry include: uneven cell distribution in the sample, too many or too few cells in the sample, subjective decisions as to whether a given cell falls within the defined counting area, contamination of the hemocytometer, user-to-user variation, and variation of hemocytometer filling rate².To alleviate the tedium associated with manual counting, 29% of researchers count cells using automated cell counting devices; these include vision-based counters, systems that detect cells using the Coulter principle, or flow cytometry¹. For most researchers, the main barrier to using an automated system is the price associated with these large benchtop instruments¹.The Scepter cell counter is an automated handheld device that offers the automation and accuracy of Coulter counting at a relatively low cost. The system employs the Coulter principle of impedance-based particle detection³ in a miniaturized format using a combination of analog and digital hardware for sensing, signal processing, data storage, and graphical display. The disposable tip is engineered with a microfabricated, cell- sensing zone that enables discrimination by cell size and cell volume at sub-micron and sub-picoliter resolution. Enhanced with precision liquid-handling channels and electronics, the Scepter cell counter reports cell population statistics graphically displayed as a histogram.     

High-throughput RNAi screening to dissect cellular pathways: A how-to guide

RNA interference (RNAi) has become a powerful tool to dissect cellular pathways and characterize gene functions. The availability of genome-wide RNAi libraries for various model organisms and mammalian cells has enabled high-throughput RNAi screenings. These RNAi screens successfully identified key components that had previously been missed in classical forward genetic screening approaches and allowed the assessment of combined loss-of-function phenotypes. Crucially, the quality of RNAi screening results depends on quantitative assays and the choice of the right biological context. In this review, we provide an overview on the design and application of high-throughput RNAi screens as well as data analysis and candidate validation strategies.     

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.     

An Automated System for Rapid Non-Destructive Enumeration of Growing Microbes

Background

The power and simplicity of visual colony counting have made it the mainstay of microbiological analysis for more than 130 years. A disadvantage of the method is the long time required to generate visible colonies from cells in a sample. New rapid testing technologies generally have failed to maintain one or more of the major advantages of culture-based methods.

Principal Findings

We present a new technology and platform that uses digital imaging of cellular autofluorescence to detect and enumerate growing microcolonies many generations before they become visible to the eye. The data presented demonstrate that the method preserves the viability of the microcolonies it detects, thus enabling generation of pure cultures for microbial identification. While visual colony counting detects Escherichia coli colonies containing about 5×10⁶ cells, the new imaging method detects E. coli microcolonies when they contain about 120 cells and microcolonies of the yeast Candida albicans when they contain only about 12 cells. We demonstrate that digital imaging of microcolony autofluorescence detects a broad spectrum of prokaryotic and eukaryotic microbes and present a model for predicting the time to detection for individual strains. Results from the analysis of environmental samples from pharmaceutical manufacturing plants containing a mixture of unidentified microbes demonstrate the method''s improved test turnaround times.

Conclusion

This work demonstrates a new technology and automated platform that substantially shortens test times while maintaining key advantages of the current methods.     

Methods for evaluating the morphological and immunohistochemical properties of human tumor colonies grown in soft agar

Clonogenic assays have been widely adopted for the investigation of hematopoietic and human tumor stem cell biology. Inasmuch as specific, whole colonies need to be analyzed morphologically, we used various methods for fixing and embedding individual colonies in situ that allowed macroscopic, light microscopic (LM), immunofluorescence, and transmission electron microscopic (TEM) evaluation of the intact colony. Melanoma colonies stained with Masson's Trichrome, hematoxylin and eosin (H&E), periodic acid-Schiff, Best's carmine, Page-Green method for inclusion bodies, and Snook's reticulum revealed cellular and extracellular components by LM. Ultrastructural studies revealed specific cellular organelles and extracellular components. Immunofluorescence studies demonstrated cell-surface fibronectin, a high molecular weight, adhesive glycoprotein. Myeloma colonies contained a heterogeneous cell population and produced amyloid fibers that were observed by TEM. Fixation and embedding the colonies in agar for TEM has several advantages over centrifugation methods and other conventional techniques for collecting cells in that (a) an entire specific colony can be studied, (b) there is excellent preservation of the cell and its spatial orientation in the colony, and (c) the extracellular matrix (ECM) of the colony is preserved for immunohistochemical analysis.     

High-throughput RNAi screening by time-lapse imaging of live human cells

RNA interference (RNAi) is a powerful tool to study gene function in cultured cells. Transfected cell microarrays in principle allow high-throughput phenotypic analysis after gene knockdown by microscopy. But bottlenecks in imaging and data analysis have limited such high-content screens to endpoint assays in fixed cells and determination of global parameters such as viability. Here we have overcome these limitations and developed an automated platform for high-content RNAi screening by time-lapse fluorescence microscopy of live HeLa cells expressing histone-GFP to report on chromosome segregation and structure. We automated all steps, including printing transfection-ready small interfering RNA (siRNA) microarrays, fluorescence imaging and computational phenotyping of digital images, in a high-throughput workflow. We validated this method in a pilot screen assaying cell division and delivered a sensitive, time-resolved phenoprint for each of the 49 endogenous genes we suppressed. This modular platform is scalable and makes the power of time-lapse microscopy available for genome-wide RNAi screens.