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Overview
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Overview

BD CellView Image Technology is real-time imaging (RTI) technology that combines flow cytometry data with spatial and morphological insights. The technology enables answering complex biological questions quickly, such as how cells grow, function and interact, or studying locations of viruses or proteins within a cell. The technology seamlessly integrates image and flow data on each event and can easily visualize the image for an event during acquisition. It enhances fluorescence activated cell sorting (FACS) with live visual inspection of target cells and novel gating strategies based on real-time image feature analysis using spatial distribution of fluorescence capabilities.

BD CellView™ Image Technology versus camera-based imaging cytometry

In contrast to camera-based technologies that combine imaging and flow cytometry, BD CellView™ Image Technology does not use a camera to image cells, which enables imaging at much faster rates. Camera-based technologies are limited by closely controlled fluidics and cannot be used for high-speed droplet cell sorting. BD CellView™ Image Technology implements orthogonal frequency domain multiplexing (OFDM) for imaging cells using electronic and optical components already used in flow cytometers. This method allows faster throughput than camera-based technologies. The image data can be acquired and quantified in real time at high speed for analysis and sorting as the sample is being acquired.

Principles of BD CellView™ Image Technology

 

 

Image Feature Definitions

 

Eccentricity

 

Eccentricity is a ratio of the shortest to the longest axis of the identified particle (as identified by the region of analysis)

 

Usage examples: Doublet discrimination, cluster identification

 

Availability: All imaging channels

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Max Intensity 

 

Max intensity is the intensity of the brightest pixel in the image. It is not affected by the region of analysis.

 

Usage examples: Punctate fluorescence, phagocytosis assay, cell cycle analysis

 

Availability: All imaging channels

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Size

 

Size is the number of pixels in the image, which are brighter than a user-defined pixel threshold.

 

Usage examples: Label-free sorting, punctate fluorescence

 

Availability: All imaging channels 

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Radial Moment 

 

Radial moment is the average distance of the pixels from the centroid within the region of analysis. 

 

Usage examples: Doublet discrimination (with Eccentricity), cell—cell interactions (cellular synapse) 

 

Availability: All imaging channels 

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Correlation

 

Correlation is the degree to which the location of two imaging channels are the same within the region of pixels defined by the region of analysis.

 

Usage example: Translocation assay

 

Availability: Any two imaging fluorescence channels

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Delta Center of Mass

 

The distance between two fluorescent signal sources in any two imaging channels within a particle as defined by the region of analysis.

 

Availability: Any two imaging channels

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Forward Scatter (FSC)

 

As particles (cells) pass through the laser, the interaction of the light with the particle results in scatter in all directions.

 

The forward scatter detector is placed in line with the laser path to measure light that is scattered at small angles. forward scatter loosely correlates to particle (cell) size.

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Side Scatter (SSC)

 

As particles (cells) pass through the laser, the interaction of the light with the particle results in scatter in all directions. 

 

The side scatter detector measures light that is scattered perpendicular (90°) to the laser path. Side scatter loosely correlates to optical density or complexity of the particle.

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Light Loss (Imaging)

 

As particles (cells) pass through the laser, the interaction of the light with the particle results in scatter in all directions.

 

Light loss is a measure of light (photons) lost from the laser due to scattering and absorption of light by a particle (cell). 

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Sample Data
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Using Image Features to Measure the Relative Location of Fluorescence Signals and Track Morphological Changes in Cell Populations

 

HT-1080 fibrosarcoma cells were treated with TNF-a and then subsequently fixed, permeabilized and stained for p65 (NFκB) using a secondary FITC-labeled antibody. The cells were then counterstained with the DNA stain DRAQ5™. BD CellView™ Image Technology enables the measurement of the relative spatial correlation between the NFκB FITC signal and the DNA DRAQ5™ signal. A correlation score of 1 indicates that both signals occupy the same space spatially.

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Doublet Discrimination Using Imaging Features to Bolster Purity

 

Doublet and clump exclusion is a critical preliminary step in establishing a pure sort. Doublets can confound purity and can lead to unwanted results or unnecessary expense when performing downstream functional and/or genomic analyses. Here we sought to demonstrate the improvements in doublet discrimination that an image enabled sorter can offer. Peripheral blood mononuclear cells (PBMCs) were prepared by Ficoll™ separation from five healthy donors. Sample preparations were counterstained with DRAQ5™, a membrane permeable, DNA intercalating dye that is compatible with BD CellView™ Image Technology. Doublet frequency was tracked via DNA content as traditional scatter-based doublet discrimination strategies were compared with an image-based approach. Singlet vs non-singlet (doublets and clumps) content in each gate was compared.

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Identifying all stages of cell cycle using imaging features

 

Each of the five stages of mitosis—interphase, prometaphase, metaphase, anaphase and telophase—are characterized by a particular chromosomal morphology and/or cell shape that can be used to separate these stages.

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Measuring translocation:

HeLa cells expressing fluorescently tagged NFκB with DRAQ5™ DNA counterstain

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Solutions
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Combining BD CellView™ Image Technology and BD SpectralFX™ Technology

The BD FACSDiscover™ S8 Cell Sorter uses BD CellView™ Image Technology and BD SpectralFX™ Technology and combines spectral flow cytometry with real-time spatial and morphological insights.

 

The cell sorter:

  • Provides insights on cell populations and characteristics that can be visually confirmed in real time during analysis and sorting
  • Enhances spectral flow cytometry with spatial and morphological insights to interrogate and sort cell types that previously could not be identified or isolated
  • Simplifies workflow with built-in visual inspection capabilities, more flexible panel design and automated features
  • Allows creating a comprehensive profile of highly complex diseases and systems with correlation of downstream analysis with imaging and traditional flow data

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For Research Use Only. Not for use in diagnostic or therapeutic procedures. CF is a trademark of Biotium, Inc.
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