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Biomedical subjects

M Bigos

Publications and source records attributed to M Bigos.

4 recordsLinked to original sources

Nine color eleven parameter immunophenotyping using three laser flow cytometry.

BACKGROUND: This study describes a three laser flow cytometer, reagents, and software used to simultaneously evaluate nine distinct fluorescent parameters on one cell sample. We compare the quality of data obtained with (1) full software compensation and (2) the use of partial spectral compensation of selected pairs of parameters in analog hardware, in combination with final software compensation. An application characterizing low frequency murine B cell subpopulations is given. METHODS: The fluorochromes used are: fluorescein (FITC), phycoerythrin (PE), Cy5PE and Cy7PE, excited at 488 nm by an argon laser; Texas Red (TR), allophycocyanin (APC), and Cy7APC excited at 595 nm by a pumped dye laser; and cascade blue (CB) and cascade yellow (CY) excited at 407 nm by a violet-enhanced krypton laser. Custom additions to commercial electronics and an extended optical bench allow the measurement of these nine parameters plus forward and side scatter light signals. RESULTS: We find the use of partial analog compensation reduces the variation in the background staining levels introduced by the compensation process. Novel B cell populations with frequencies below 1% are characterized. CONCLUSIONS: Nine color flow cytometry is capable of providing measurements with high information content. The choice of reagent-dye combinations and the ability to compensate in multi-parameter measurement space are crucial to obtaining satisfactory results.

Animals

8 color, 10-parameter flow cytometry to elucidate complex leukocyte heterogeneity.

We developed the chemistry, instrumentation, and software technologies needed to measure, simultaneously and independently, eight different fluorescent molecules on individual cells. Conjugation of these fluorochromes to monoclonal antibodies is straightforward; all immunofluorescence staining is accomplished with direct stains only. We built a hybrid flow cytometer with eight fluorescence detectors and two light scatter channels, with excitation provided by three spatially separated laser beams emitting at 407 nm, 488 nm, and 595 nm. The fluorescence compensation required to make the data orthogonal is of sufficient complexity that it cannot be performed manually; thus, we use software to compensate the data post hoc, based on data collected from singly stained compensation control samples. In this report, we evaluate the 8 color staining technology. Of the seven fluorochromes other than fluorescein, six have a useful brightness at least as great as fluorescein. Three of the fluorochromes (phycoerythrin, allophycocyanin, and the Cy5 resonance energy tandem of phycoerythrin) are considerably brighter than fluorescein and are useful for detecting antigens expressed at low levels. Finally, we show the power and utility of the 8 color, 10-parameter technology using staining experiments on both human and murine immune systems.

Animals

Heterogeneous calcium flux in peripheral T cell subsets revealed by five-color flow cytometry using log-ratio circuitry.

Calcium flux measurements of different subpopulations of cells by flow cytometry are important in understanding complex interactions in the immune system. This paper discusses the use of the difference of Log signals as a preferred method for obtaining this information simultaneously with other immunofluorescence parameters. We describe simple modifications to a commercial instrument that enables the measurement of calcium flux in addition to three immunofluorescence parameters. Finally, we show an application of this technique to measuring calcium flux of T cell subsets in human blood. We show that different subsets of peripheral CD4 T cells have significantly different capabilities to flux calcium after CD3 stimulation. These differences are related to the functional capacities of the cells within these subsets.

Antigens, CD

Pattern sorting: a computer-controlled multidimensional sorting method using k-d trees.

Multidimensional binary trees provide a memory efficient and general method for computing sorting decisions in real time for a flow cytometer. Their fundamental advantage over conventional lookup table sorting techniques is that sort criteria in the full N-dimensional data space which cannot be described by projections onto two-dimensional parameter planes can be effectively implemented. This becomes particularly relevant when multidimensional analysis methods such as principal components or clustering are employed. We describe a prototype implementation of this method and point out other possible implementations.

Cluster Analysis