Reduction of diffusion broadening in flow by analysis of time-gated single-molecule data.

We describe the application of Extreme Value Statistics to the analysis of discrete species that possess distinguishable properties (fluorescence wavelength, fluorescence intensity, light scattering, etc.) as they cross a well-defined observation/probe region. Time-gated selection and extreme value data analysis result in increased resolution in analytical determinations. When only the data corresponding to the smallest crossing times are selected for analysis, the width of the diffusion band decreases for the measured parameter. The molecules with the smallest crossing times diffuse preferentially along the flow direction. A Monte Carlo technique and the probability density function (pdf) for a freely diffusing species are used to generate data streams to provide a theoretical basis for the aforementioned phenomenon. These calculations are included to characterize the effect of the average flow rate and the diffusion constant. We have also included a procedure for extracting the normal diffusion constant (D) from the Extreme Value Distribution. In contrast to standard flow analysis, which requires long path lengths, our approach is particularly suited for measurements in picolitre and nanolitre volumes and provides another dimension to single-molecule measurements in cellular size volumes. We believe that this is a general phenomenon that depends upon the details of the pdf, which can be complex.

Techniques for flow cytometer alignment.

This unit provides essential knowledge for correctly using any flow cytometer to ensure that data collected are accurate and reliable. Two levels of system alignment are described: routine alignment checks and complete alignment, both of which can be applied to a variety of instrument configurations.

Open, reconfigurable cytometric acquisition system: ORCAS.

A digital signal processing (DSP)-based digital data acquisition system has been developed to support novel flow cytometry efforts. The system flexibility includes how it detects, captures, and processes event data. Custom data capture boards utilizing analog to digital converters (ADCs) and field programmable gate arrays (FPGA) detect events and capture correlated event data. A commercial DSP board processes the captured data and sends the results over the IEEE 1394 bus to the host computer that provides a user interface for acquisition, display, analysis, and storage. The system collects list mode data, correlated pulse shapes, or streaming data from a variety of detector types using Linux, Mac OS X, and Windows host computers. It extracts pulse features not found on commercial systems with excellent sensitivity and linearity over a wide dynamic range. List mode data are saved in FCS 3.0 formatted files while streaming or correlated waveform data are saved in custom format files for postprocessing. Open, reconfigurable cytometric acquisition system is compact, scaleable, flexible, and modular. Programmable feature extraction algorithms have exciting possibilities for both new and existing applications. The recent availability of a commercial data capture board will enable general availability of similar systems.

Single particle high resolution spectral analysis flow cytometry.

BACKGROUND: While conventional multiparameter flow cytometers have proven highly successful, there are several types of analytical measurements that would benefit from a more comprehensive and flexible approach to spectral analysis including, but certainly not limited to spectral deconvolution of overlapping emission spectra, fluorescence resonance energy transfer measurements, metachromic dye analysis, free versus bound dye resolution, and Raman spectroscopy. METHODS: Our system utilizes a diffraction grating to disperse the collected fluorescence and side-scattered light from cells or microspheres passing through the interrogation region over a rectangular charge-coupled-device image sensor. The flow cell and collection optics are taken from a conventional flow cytometer with minimal modifications to assure modularity of the system. RESULTS: Calibration of the prototype spectral analysis flow cytometer included wavelength characterization and calibration of the dispersive optics. Benchmarking of the system demonstrated a single particle/cell intensity sensitivity of 2160 MESF of R-Phycoerythrin. Single particle spectra taken with our instrument were validated against bulk solution fluorimeter and conventional flow cytometer measurements. Coefficients of variation of integrated spectral fluorescence intensity of several sets of standard fluorescent microspheres ranged from 1.4 to 4.8% on the spectral system. Spectral discrimination of free versus PI bound to cells is also demonstrated. CONCLUSIONS: It is demonstrated that the flow spectrometer has sufficient sensitivity and wavelength resolution to detect single cells and microspheres, including multi-fluorophore labeled microspheres. The capability to use both standard mathematical deconvolution techniques for data analysis, coupled with the feasibility of integration with existing flow cytometers, will improve the accuracy and precision of ratiometric measurements, enable the analysis of more discrete emission bands within a given wavelength range, and allow more precise resolution of the relative contribution of individual fluorophores in multiply-tagged samples, thereby enabling a range of new applications involving the spectral analysis of single cells and particles.

Probing the kinetics of SYTOX Orange stain binding to double-stranded DNA with implications for DNA analysis.

Rapid binding kinetics of SYTOX Orange stain with double-stranded DNA (dsDNA) was revealed on the DNA fragment sizing flow cytometer. We demonstrated for the first time that the dye molecules could be adsorbed onto the capillary surface and native DNA fragments can be dynamically stained while passing through the capillary. High-quality burst size distribution histograms were obtained for DNA samples analyzed immediately after staining, dilution, or mixing. These observations indicated that rapid interactions exist between SYTOX Orange dye molecules and dsDNA. A stopped-flow fluorescence apparatus was set up to capture the fast association traces of intercalating dyes binding to dsDNA. Kinetic equations were derived to fit the association curves for determination of association rates and to model the dynamic staining, dilution, and mixing processes of DNA samples stained with intercalating dyes. The measured association rates for both SYTOX Orange and PicoGreen stains intercalating into dsDNA were on the order of 10(8) M-1 s-1, suggesting a diffusion-controlled process. Simulations indicate that reequilibration can be reached in seconds upon staining, dilution, or mixing. Insight into the kinetics of DNA binding dyes will help implement efficient sample-handling practices in DNA analysis, including DNA fragment sizing flow cytometry.

An analytical system based on a compact flow cytometer for DNA fragment sizing and single-molecule detection.

BACKGROUND: Previous reports have demonstrated accurate DNA fragment sizing of linear DNA fragments, from 564 to approximately 4 x 10(5) bp, in a flow system. B-phycoerythrin (B-PE), commonly used in conventional cytometric applications that require high-sensitivity, was the first fluorophore detected in flow at the single-molecule level. METHODS: Dilute solutions of stained DNA fragments or B-PE were analyzed in a simplified, compact flow system, with enhanced performance and lower cost, utilizing a solid-state laser and a single-photon sensing avalanche photodiode detector (SSAPD). Extensive data processing and display software, developed specifically for the photon-counting data stream, extracts correlated height, width, and area features from bursts of photons due to discrete molecules passing through the sensing region in the flow channel. RESULTS: DNA fragment sizing in flow has now been demonstrated for SYTOX-orange-stained fragments ranging in size over 3.4 orders of magnitude, from 125 to 5 x 10(5) bp. For Lambda bacteriophage DNA (lambda DNA; 48.5 kbp) a CV of 1.2 % has been achieved. Analysis of a femtomolar B-PE solution demonstrates that the bursts of photons from individual molecules can be baseline-resolved with 0.5 mW of laser power at a signal to noise ratio (SNR) of approximately 30, with approximately 100 photons detected from each molecule. CONCLUSIONS: A compact, low-power, high-sensitivity system detects DNA fragments as small as 125 bp or individual B-PE molecules in a flowing liquid stream. Demonstrated linearity, sensitivity, and resolution indicate that <1.0 mW of laser power is optimal, permitting further miniaturization of the system and additional cost reduction. Comprehensive analytical software exploits the standard cytometric paradigm of multiple 2D graphs and gating to extract features from classes of individually analyzed biomolecules. This complete system is thus poised to engage high-sensitivity applications not amenable to conventional flow cytometric instrumentation.

Statistics of single-molecule measurements: applications in flow-cytometry sizing of DNA fragments.

BACKGROUND: The measurement of physical properties from single molecules has been demonstrated. However, the majority of single-molecule studies report values based on relatively large data sets (e.g., N > 50). While there are studies that report physical quantities based on small sample sets, there has not been a detailed statistical analysis relating sample size to the reliability of derived parameters. METHODS: Monte Carlo simulations and multinomial analysis, dependent on quantifiable experimental parameters, were used to determine the minimum number of single-molecule measurements required to produce an accurate estimate of a population mean. Simulation results were applied to the fluorescence-based sizing of DNA fragments by ultrasensitive flow cytometry (FCM). RESULTS: Our simulations show, for an analytical technique with a 10% CV, that the average of as few as five single-molecule measurements would provide a mean value within one SD of the population mean. Additional simulations determined the number of measurements required to obtain the desired number of replicates for each subpopulation within a mixture. Application of these results to flow cytometry data for lambda/HindIII and S. aureus Mu50/SmaI DNA digests produced accurate DNA fingerprints from as few as 98 single-molecule measurements. CONCLUSIONS: A surprisingly small number of single-molecule measurements are required to obtain a mean measurement descriptive of a normally-distributed parent population.

Performance assessment of DNA fragment sizing by high-sensitivity flow cytometry and pulsed-field gel electrophoresis.

The sizing of restriction fragments is the chief analytical technique utilized in the production of DNA fingerprints. Few techniques have been able to compete with pulsed-field gel electrophoresis (PFGE), which is capable of discriminating among bacteria at species and strain levels by resolving restriction fragments. However, an ultrasensitive flow cytometer (FCM) developed in our lab has also demonstrated the ability to discriminate bacteria at species and strain levels. The abilities of FCM warrant a quantitative parallel comparison with PFGE to assess and evaluate the accuracy and precision of DNA fragment sizing by both techniques. Replicate samples of Staphylococcus aureus Mu50 were analyzed along with two clinical S. aureus isolates. The absolute fragment sizing accuracy was determined for PFGE (5% +/- 2%) and FCM (4% +/- 4%), with sequence-predicted Mu50 SmaI fragment sizes used as a reference. Precision was determined by simple arithmetic methods (relative standard deviation for PFGE [RSD(PFGE) ] = 3% +/- 2% and RSD(FCM) = 1.2% +/- 0.8%) as well as by the use of dendrograms derived from Dice coefficient-unweighted pair group method with arithmetic averages (UPGMA) and Pearson-UPGMA analyses. All quantitative measures of PFGE and FCM precision were equivalent, within error. The precision of both methods was not limited by any single sample preparation or analysis step that was tracked in this study. Additionally, we determined that the curve-based clustering of fingerprint data provided a more informative and useful assessment than did traditional band-based methods.

Progress towards single-molecule DNA sequencing: a one color demonstration.

Single molecules of fluorescently labeled nucleotides were detected during the cleavage of individual DNA fragments by a processive exonuclease. In these experiments, multiple (10-100) strands of DNA with tetramethyl rhodamine labeled dUMP (TMR-dUMP) incorporated into the sequence were anchored in flow upstream of the detection region of an ultra sensitive flow cytometer. A dilute solution of Exonuclease I passed over the microspheres. When an exonuclease attached to a strand, processive digestion of that strand began. The liberated, labeled bases flowed through the detection region and were detected at high efficiency at the single-molecule level by laser-induced fluorescence. The digestion of a single strand of DNA by a single exonuclease was discernable in these experiments. This result demonstrates the feasibility of single-molecule DNA sequencing. In addition, these experiments point to a new and practical means of arriving at a consensus sequence by individually reading out identical sequences on multiple fragments.

Nozzle design parameters and their effects on rapid sample delivery in flow cytometry.

BACKGROUND: Rapid kinetic and high throughput flow cytometry are emerging as valuable tools in biotechnology research applications ranging from mechanistic analysis of molecular assemblies to high throughput screening. Many of these new applications have been made possible by improved sample delivery capabilities, focusing increased attention on fluidic issues associated with rapid sample delivery. METHODS: Using basic fluidic premises, we derived a model that predicted the effect of nozzle parameters during rapid sample delivery. We tested the model using the rapid mix flow cytometer and modifications were made to the equipment to optimize performance. RESULTS: The model predicted that shorter nozzles with wide exit orifices decrease the delay before initial particle analysis and the fluidic stabilization time. Experimental results confirmed this prediction and model-based modifications allowed analysis of particles within 55 ms or 600 ms after mixing, with or without electronic gating, respectively. CONCLUSIONS: The model along with modifications to commercial equipment will allow rapid mix flow cytometry to analyze reactions in time frames threefold shorter than previously possible. The model allows for nozzle design predictions that should allow for analysis in the millisecond time frame. Furthermore, these findings are general for all rapid delivery applications, including high throughput flow cytometry.