FCS 3.1 Implementation guidance

The Flow Cytometry Standard (FCS) format was developed back in 1984. Since then, FCS became the standard file format supported by all flow cytometry software and hardware vendors. Over the years, updates were incorporated to adapt to technological advancements in both flow cytometry and computing technologies. However, flexibility in how data may be stored in FCS has led to implementation difficulties for instrument vendors and third party software developers. In this technical note, we are providing implementation guidance and examples related to FCS 3.1, the latest version of the standard. By publishing this text, we intend to prevent potential compatibility issues that could be faced when implementing the FCS spillover and preferred display keywords that have arisen during discussions among some implementers.     

Proposed standard for image cytometry data files

A number of different types of computers running a variety of operating systems are presently used for the collection and analysis of image cytometry data. In order to facilitate the development of sharable data analysis programs, to allow for the transport of image cytometry data from one installation to another, and to provide a uniform and controlled means for including textual information in data files, this document describes a data storage format that is proposed as a standard for use in image cytometry. In this standard, data from an image measurement are stored in a minimum of two files. One file is written in ASCII to include information about the way the image data are written and optionally, information about the sample, experiment, equipment, etc. The image data are written separately into a binary file. This standard is proposed with the intention that it will be used internationally for the storage and handling of biomedical image cytometry data. The method of data storage described in this paper is similar to those methods published in American Association of Physicists in Medicine (AAPM) Report Number 10 and in ACR-NEMA Standards Publication Number 300-1985.     

convert: A user‐friendly program to reformat diploid genotypic data for commonly used population genetic software packages

convert is a user‐friendly, 32‐bit Windows program that facilitates ready transfer of codominant, diploid genotypic data amongst commonly used population genetic software packages. convert reads input files in its own ‘standard’ data format, easily produced from an excel file of diploid, codominant marker data, and can convert these to the input formats of the following programs: gda , genepop , arlequin , popgene , microsat , phylip , and structure . convert can also read input files in genepop format. In addition, convert can produce a summary table of allele frequencies in which private alleles and the sample sizes at each locus are indicated.     

Flower: extracting information from pyrosequencing data

The SFF file format produced by Roche's 454 sequencing technology is a compact, binary format that contains the flow values that are used for base and quality calling of the reads. Applications, e.g. in metagenomics, often depend on accurate sequence information, and access to flow values is important to estimate the probability of errors. Unfortunately, the programs supplied by Roche for accessing this information are not publicly available. Flower is a program that can extract the information contained in SFF files, and convert it to various textual output formats. AVAILABILITY: Flower is freely available under the General Public License.     

NCL: a C++ class library for interpreting data files in NEXUS format

The NEXUS Class Library (NCL) is a collection of C++ classes designed to simplify interpreting data files written in the NEXUS format used by many computer programs for phylogenetic analyses. The NEXUS format allows different programs to share the same data files, even though none of the programs can interpret all of the data stored therein. Because users are not required to reformat the data file for each program, use of the NEXUS format prevents cut-and-paste errors as well as the proliferation of copies of the original data file. The purpose of making the NCL available is to encourage the use of the NEXUS format by making it relatively easy for programmers to add the ability to interpret NEXUS files in newly developed software. AVAILABILITY: The NCL is freely available under the GNU General Public License from http://hydrodictyon.eeb.uconn.edu/ncl/ Supplementary information: Documentation for the NCL (general information and source code documentation) is available in HTML format at http://hydrodictyon.eeb.uconn.edu/ncl/     

Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics

Measuring changes of the T cell receptor (TCR) repertoire is important to many fields of medicine. Flow cytometry is a popular technique to study the TCR repertoire, as it quickly provides insight into the TCR-Vβ usage among well-defined populations of T cells. However, the interpretation of the flow cytometric data remains difficult, and subtle TCR repertoire changes may go undetected. Here, we introduce a novel means for analyzing the flow cytometric data on TCR-Vβ usage. By applying economic statistics, we calculated the Gini-TCR skewing index from the flow cytometric TCR-Vβ analysis. The Gini-TCR skewing index, which is a direct measure of TCR-Vβ distribution among T cells, allowed us to track subtle changes of the TCR repertoire among distinct populations of T cells. Application of the Gini-TCR skewing index to the flow cytometric TCR-Vβ analysis will greatly help to gain better understanding of the TCR repertoire in health and disease.     

Macintosh graphics for the EPICS flow cytometer user

Graphic options for the EPICS flow cytometer user have been restricted in the past to software written specifically for the analysis and graphics of flow cytometric data. The software is limited to only a few graphic presentation styles. The technique described will allow the EPICS user to translate histogram files into text files that can be used in an alternative computer format.     

Microcomputer programs for DNA sequence analysis.

Computer programs are described which allow (a) analysis of DNA sequences to be performed on a laboratory microcomputer or (b) transfer of DNA sequences between a laboratory microcomputer and another computer system, such as a DNA library. The sequence analysis programs are interactive, do not require prior experience with computers and in many other respects resemble programs which have been written for larger computer systems (1-7). The user enters sequence data into a text file, accesses this file with the programs, and is then able to (a) search for restriction enzyme sites or other specified sequences, (b) translate in one or more reading frames in one or both directions in order to find open reading frames, or (c) determine codon usage in the sequence in one or more given reading frames. The results are given in table format and a restriction map is generated. The modem program permits collection of large amounts of data from a sequence library into a permanent file on the microcomputer disc system, or transfer of laboratory data in the reverse direction to a remote computer system.     

Chromatin organization in isolated nuclei: flow cytometric characterization employing forward and perpendicular light scatter

Flow cytometric perpendicular and forward light scatters have been employed to evaluate whether the changes in chromatin organization due to ionic strength, Mg++ concentration and pH, visible in electron microscopy, can be monitored by flow cytometry. The average intensity of the perpendicular light scatter signal increased as nuclear chromatin became decondensed by lowering the ionic strength or releasing H1 histone at low pH values. These results indicate that flow cytometry signals and in particular the perpendicular light scatter allow the detection of the conformational transitions in chromatin and may therefore be useful for studying cell cycle associated morphological changes in isolated nuclei.     

Some theoretical and practical considerations for multivariate statistical cell classification useful in autologous stem cell transplantation and tumor cell purging.

BACKGROUND: As flow cytometric data becomes more complex, it becomes increasingly difficult to classify cells using conventional flow cytometry data techniques based on visual classification of the data by user-drawn regions. This paper shows some simple applications of multivariate statistical classification to classify flow cytometric data. METHODS: Discriminant Function Analysis (DFA) and Logistic Regression (LR) analysis techniques were evaluated with respect to their potential utility in the problem of detecting human breast cancer cells within normal bone marrow cells. Data sets having defined properties were employed to evaluate the potential utility of these statistical classification techniques whose performance was measured by ROC analysis. RESULTS: Two extreme but reasonable situations are presented: (1) data where the separation of cells was obvious by visual inspection and (2) data where major overlaps in the values of the individual FCM parameters made intuitive classification improbable. Both DFA and LR analysis were able to classify the cells of each type with acceptable accuracy and yield.CONCLUSIONS: The excellent empirical performance of both DFA and LR techniques, suggests that they offer promising approaches for classifying multiparameter FCM data using objective rules that may represent an improvement over commonly employed ad hoc approaches.     

Rapid flow cytometry – Nile red assessment of PHA cellular content and heterogeneity in cultures of Pseudomonas aeruginosa 47T2 (NCIB 40044) grown in waste frying oil

The accumulation of cytoplasmic polyhydroxyalkanoates (PHAs) and the heterogeneity of bacterial populations were analysed by flow cytometry and SYTO-13 and Nile red staining in rhamnolipid-producing Pseudomonas aeruginosa cultures grown in waste frying oil as carbon source. A combination of SYTO-13 and Nile red fluorescence with cytometric forward and side scatter values may allow increases in the final production of polyhydroxyalkanoates (PHA) by two basic mechanisms: (i) rapid assessment of polyhydroxyalkanoate content and (ii) definition of flow cytometric cell sorting protocols to select high polyhydroxyalkanoate (PHA)-producing strains. We report a rapid (less than 30 min) flow cytometric assessment of PHAs in Pseudomonas aeruginosa 47T2 following Nile red staining: (i) to estimate cellular PHAs content; (ii) to study heterogeneity of the batch cultures producing PHAs and (iii) to establish the basis for sorting sub-populations with a high capacity to accumulate PHAs.     

Introduction to flow cytometry data file standard

The Data File Standards Committee of the Society for Analytical Cytology presents a Standard to be used for the storage of data associated with flow cytometric measurements. The Standard specifies a format that provides for the inclusion of all information necessary to fully describe: 1) the instrument used for the measurement; 2) the sample measured; 3) the data obtained; and 4) the results of analysis of the data. The Committee and the Society for Analytical Cytology point out that the use of this Standard by all those individuals and companies that generate or use data taken with flow cytometers or generate methods of analysis for the data will encourage the sharing of such data and methods of analysis.     

Cellometer image cytometry as a complementary tool to flow cytometry for verifying gated cell populations

Traditionally, many cell-based assays that analyze cell populations and functionalities have been performed using flow cytometry. However, flow cytometers remain relatively expensive and require highly trained operators for routine maintenance and data analysis. Recently, an image cytometry system has been developed by Nexcelom Bioscience (Lawrence, MA, USA) for automated cell concentration and viability measurement using bright-field and fluorescent imaging methods. Image cytometry is analogous to flow cytometry in that gating operations can be performed on the cell population based on size and fluorescent intensity. In addition, the image cytometer is capable of capturing bright-field and fluorescent images, allowing for the measurement of cellular size and fluorescence intensity data. In this study, we labeled a population of cells with an enzymatic vitality stain (calcein-AM) and a cell viability dye (propidium iodide) and compared the data generated by flow and image cytometry. We report that measuring vitality and viability using the image cytometer is as effective as flow cytometric assays and allows for visual confirmation of the sample to exclude cellular debris. Image cytometry offers a direct method for performing fluorescent cell-based assays but also may be used as a complementary tool to flow cytometers for aiding the analysis of more complex samples.     

On multiparameter data analysis in flow cytometry

Increasing numbers of parameters that are accessible to simultaneous measurement in flow cytometric instruments, combined with the extremely large sample sizes common in flow cytometry, make it necessary to examine methods of multivariate statistics for their applicability to problems of visualization and quantitative analysis of flow cytometric data. This article describes some approaches to dimensionality reduction that appear well suited for data sets obtained by flow cytometry.     

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.     

A DATA MANAGER for the health information system Berlin.

The needs for permanently changing the logical and physical structure of a medical datebase during the development of a health information system have initiated the project of implementing a DATA MANAGER. The concept of the DATA MANAGER covers facilities for the development of the logical data structure model including documentation of the model and programming support for application programs accessing the health information system (HIS) database. The outstanding facilities of the INTERLISP system have been found to be appropriate for writing the DATA MANAGER. A first data structure model, on which the DATA MANAGER will operate, is roughly outlined.     

SPLICE, a computer program for automated extraction of information from GenBank sequence entries

SPLICE, a software tool for the extraction of sequences fromfiles in GenBank tape format, has been developed. The programcan analyze the features table in this format and use any ofthe information provided to write the corresponding sequencesinto a standard sequence file format suitable for use with sequenceanalysis programs. Sequences that are present as several subsequentfragments in a single GenBank file, such as those encoding apeptide, can be spliced together by the program. Further, sequencesthat are present in more than one Genbank file, such as an exonwhich spans several different files, can also be spliced intoone sequence. SPLICE runs under the MS/DOS and Unix operatingsystems, can be called as a sub-process by other programs andcan process batches of files. Received on December 26, 1989; accepted on May 30, 1990     

Comparison of single and dual platform methodologies for the estimation of CD34+ hematopoietic progenitor cells: correlation with colony assay

In this study three assays for the enumeration of CD34+ progenitors were compared: 1) a modified version of the Milan protocol, used in the standard dual-platform format; 2) a dual-platform version of the ISHAGE protocol; 3) the ProCOUNT software version 2.0/ProCOUNT kit. The assays were compared to validate the accuracy of CD34+ cell counts in mobilized peripheral blood (PB), apheresis products (AP), and cord blood (CB). The ProCOUNT protocol uses reference beads for absolute CD34+ cell counting, whereas CD34 counts by other techniques are derived from a separate leukocyte count performed by a hematology analyzer. A good correlation between the ISHAGE and ProCOUNT methods was obtained for estimation of CD34+ counts in PB (n=42 samples analyzed) and AP (n=35)--except for samples having a leukocyte count >25 x 10(9)/L or a CD34 count <0.0025 x 10(9)/L)--while a suboptimal correlation between the methods was observed for CB (n=30). The ProCOUNT system proved to be effective in reducing the variability in CD34+ cell counting and appeared to be useful for intralaboratory methodology standardization. The main disadvantage of the ProCOUNT assay was its inability to calculate CD34 counts in leukopenic samples and in CB samples showing a high erythroblast count. As far as the correlation with hematopoietic colonies is concerned, data collected from apheresis samples showed a good correlation between the three flow cytometry methods and colony-forming unit granulocyte-macrophage (CFU-GM) counts, confirming the value of the flow cytometric test as a real-time, truly predictive test to measure the hematopoietic potential of the graft. In summary, all methods are suitable for enumeration of most PB samples, while the single-platform methodology should be preferred for the analysis of AP and CB. We also found the dual-platform format of the ISHAGE method precise and accurate for the estimation of CD34+ cells from CB samples. Based on these data it can be concluded that the single-platform flow cytometry assay format should be the preferred approach for CD34+ stem cell enumeration in different types of samples.