Imaging Cytometry
The Imaging Cytometry platform houses the Cellomics ArrayScan VTI and Amnis ImageStream cytometers, which enable the collection of quantitative data on many cellular processes, including:
|
Receptor activation Cell membrane receptor binding GPCR internalization Labeled ligand internalization Cell proliferation Cell morphology Cell survival signaling Cell migration signaling Toxicity Cell Viability Apoptosis/Necrosis |
Nuclear count Fluorescent protein localization Transcription factors Reporter gene expression Cell cycle status DNA replication studies Nuclear-cytoplasmic translocation Plasma membrane translocation Neurite outgrowth Neuronal profiling Tube formation Microtubule arrangement |
Cytoskeletal reorganization Micronuclei formation Genotoxicity Hepatotoxicity Oxidative stress Phospholipidosis Cholestasis Calcium homeostasis Neurotoxicity Stress response Subpopulation analysis |
Advantages of Imaging Flow Cytometry over Conventional Flow Cytometry
- Ability to localize fluorescence within cells and quantitatively determine fluorescence in defined cellular features (e.g., nucleus versus cytoplasm, endosomes versus lysosomes)
- Ability to co-localize fluorescent signals in the entire cell or within selected cellular features (e.g., quantifying tagged proteins within organelles)
- Ability to localize fluorescent signals during cellular interactions (e.g., adhesion molecules in the immune synapse)
- Availability of 35 intensity-based and morphologic parameters per channel with ability to create user-defined parameters based on Boolean and algebraic calculations (e.g., nucleus-to-cytoplasm ratio)
- Ability to view images (single or composite fluorescent images, or brightfield) associated with a single point or a region on a bivariate scatter plot
- Morphologic parameters can serve as surrogates for one or more fluorescent parameters, freeing up fluorescent channels (e.g., detection of apoptosis cells by comparing nuclear area and peak nuclear pixel intensity, ability to distinguish prophase, metaphase and anaphase on the basis of nuclear texture, size and aspect ratio)
Advantages over Fluorescence Microscopy-Based Image Analysis
- Higher throughput by 2-3 orders of magnitude gives better statistical analysis
- Choice of objects and subpopulations for analysis is objective rather than subjective
Advantages over Fluorescence Activated Cell Sorting Followed by Image Analysis
- Can sort on calculated morphologic features and by location of fluorescence within a cell
- Does not require two complex instruments which are usually not in the same location (1.8 miles apart in our case)
- No loss of cells or viability issues
- Can perform kinetic experiments
Advantages over Image Scanning Cytometry
- Better suited to cells in suspension (simplified sample handling)
- Gives light scatter measurements
- Findings more easily translated to flow cytometry (e.g., for polychromatic multiparameter analysis or cell sorting)
- Cells in suspension are not altered in function or appearance by adherence to a solid substrate
Instrumentation
Cellomics ArrayScan VTI Imaging Cytometer
The Imaging Cytometry platform centers on a Cellomics ArrayScan VTI imaging cytometer with up to 40X magnification and a 120W mercury-halide white light source capable of excitation from 300nm-700nm and up to 5-color capability. Related equipment also includes a Twister robotic plate loader, a Zeiss Apotome for pseudo-confocal capability (7uM sectioning), a 1T server for data storage and a dedicated data analysis terminal.
The ArrayScan VTI is an automated fluorescence image analysis system with integrated image analysis and data management that together allow the user to perform High Content Screening analysis (HCS). Conventional inverted fluorescence microscopy is applied with robotics to enable fully automated imaging of cells in multi-well cell culture plates. The VTI brings three common technologies--a fluorescent plate reader, fluorescent microscope, and flow cytometer--into a single instrument. The focus of the VTI is to establish event dynamics across populations and subpopulations like a flow cytometer, while incorporating sophisticated image processing to allow for spatial discrimination of fluorescent dyes within the cell. Sophisticated image analysis enables quantification of cellular fluorescence on a large scale to include highly complex phenomenon like morphological changes involving sub-cellular constituents, whole cell morphology, and multi-cellular structures, for example. Biological content is further increased through spatial analyses of targets labeled with fluorescent dyes. The integrated database allows for remote sharing of data and images and features logical in-line operations like automated dose response curve reporting and relationships within reams of cellular data.
More information about the ArrayScan VTI
Some commonly used fluorophores compatible with the ArrayScan VTI:
| Hoechst 33342 | YOYO-1 | Rhodamine | Texas Red | DRAQ5 |
| DAPI | Alexa 488 | Cy3 | Alexa 568/594 | Alexa 647/680 |
| FITC | Calcein | Alexa 546 | LsyoTracker Red | TOTO3 |
| GFP, EGFP | BODIPY-FL | DyLight 549 | MitoTracker Red |
Amnis ImageStream© 100
The Amnis ImageStream 100 is the first commercially available imaging flow cytometer. It combines advantages of flow cytometry (ability to interrogate large numbers of cells in suspension, well-developed color compensation, analysis and display methods) with those of image analysis (digital imagery of each individual cell, calculation of morphological features from digital images, localization of fluorescence to morphologic features, co-localization of fluorescent probes).
In the simplest terms, the ImageStream may be thought of as a flow cytometer in which the photomultiplier tubes have been replaced by an array of sensitive charge coupled device (CCD) cameras. Cells in the sample are hydrodynamically focused within a quartz cuvette, where they are interrogated by a 480 nm solid-state laser. Scattered incident light and emitted fluorescence are collected at 90 degrees to the excitation beam and broken into 6 images of distinct bandwidth by a dichroic filter stack that directs the resulting spectral bands at different angles. These images are captured by adjacent segments of the camera chip. The images include brightfield (transmitted light), 488nm side-scatter, and 4 emitted fluorescence channels corresponding to those used on many 4-color flow cytometers. Individual objects are identified and distinguished from background in real time in a process analogous to live gating, and the images are stored to a raw image file (RIF). In post-acquisition processing, the 6 images of each object are put into register, color is compensated pixel by pixel, and features such as area and intensity are calculated for each parameter and each image (see table below). The results are stored in a compensated image file (CIF) for analysis.
The parameters include those familiar to flow cytometry, such as intensity, defined as the total pixel intensity of an object in a given fluorescence channel (minus background), and side scatter, the intensity of the 488nm image. Cell size can be measured directly as the brightfield area. A wealth of additional parameters (see table below), drawn from the repertoire of image analysis but foreign to most flow cytometrists, allows characterization of cellular features and localization of fluorescent probes.
| Image Features | Parameters Calculated for Each Image |
|---|---|
| Area | Area of mask in pixels |
| Aspect Ratio | Aspect ratio of mask |
| Aspect Ratio Intensity | Intensity-weighted aspect ratio of mask |
| Background Mean Intensity | Mean intensity of pixels outside of mask |
| Background StdDev Intensity | Standard deviation of intensity of pixels outside of mask |
| CentroidX | Centroid of mask in horizontal axis |
| CentroidX Intensity | Intensity-weighted centroid of mask in horizontal axis |
| CentroidY | Centroid of mask in vertical axis |
| CentroidY Intensity | Intensity-weighted centroid of mask in vertical axis |
| Combined Mask Intensity | Total intensity of image using logical "OR" of all six image masks |
| Frequency | Variance of intensity of pixels within mask |
| Gradient Max | Maximum intensity gradient of pixels within mask |
| Gradient RMS | RMS of intensity gradient of pixels within mask |
| Intensity | Background-corrected sum of pixel intensities within mask |
| Major Axis | Major axis of mask in pixels |
| Major Axis Intensity | Intensity-weighted major axis of mask in pixels |
| Mean Intensity | Total Intensity of image divided by area of mask |
| Minimum Intensity | Minimum pixel intensity within mask |
| Minor Axis | Minor axis of mask in pixels |
| Minor Axis Intensity | Intensity-weighted minor axis of mask in pixels |
| Object Rotation Angle | Angle of major axis relative to axis of flow |
| Object Rotation Angle Intensity | Angle of intensity-weighted major axis relative to axis of flow |
| Peak Intensity | Maximum pixel intensity within mask |
| Perimeter | Number of edge pixels in mask |
| Spot Large Max | Maximum pixel intensity within large bright spots |
| Spot Large Total | Sum of pixel intensities within large bright spots |
| Spot Medium Max | Maximum pixel intensity within medium-sized bright spots |
| Spot Medium Total | Sum of pixel intensities within medium-sized bright spots |
| Spot Raw Max | Un-normalized maximum pixel intensity within large bright spots |
| Spot Raw Total | Sum of un-normalized pixel intensities within large bright spots |
| Spot Small Max | Maximum pixel intensity within small bright spots |
| Spot Small Total | Sum of pixel intensities within small bright spots |
| Total Intensity | Sum of pixel intensities within mask |
| Spot Count | Number of spots detected in image |
| Combined Mask Area | Area of logical "OR" of all six image masks in pixels |
| Flow Speed | Camera line readout rate in Hertz at time object was imaged |
| Object Number | Unique object number |
| Similarity | Pixel intensity correlation between two images of the same object. |
| User-Defined Features | Any algebraic combination of imagery and masks |
| User-Defined Masks | Erode, dilate, threshold, Boolean combinations |
| User-Defined Populations | Any Boolean combination of defined populations |
*Calculated Image Features and Definitions. These features are calculated individually for all 6 image channels. Additional parameters can be defined by the user and calculated for each object. For example, if the nuclear stain Draq5 (collected in channel 6) is used, the nucleus-to-cytoplasm ratio can be calculated as the channel 6 area, divided by channel 2 (violet brightfield) area. Table courtesy of Amnis.
Special Guidelines for the Amnis ImageStream 100 Imaging Flow Cytometer
- Samples must be at a very high concentration. A minimum of 20 x 106 cells/mL is permissible, but acquisition will be slow. The optimal concentration is 50 x 106 cells/mL. The minimum cell number is 2 x 106 per sample.
- Samples must be filtered through a 70 micron cell strainer (Falcon 35-2350 or equivalent). Undoing a sample clog can take up to 2 hours on the ImageStream; you will be charged for this time if you did not filter your sample. Samples should be prepared in 0.5 mL flat top microcentrifuge tubes (Fisherbrand 05-408-128 or equivalent). Use these tubes from the start to avoid sample loss during transfer.
- Remember to prepare single-stained tubes for each fluorochrome, for color compensation. Draq-5 (Alexis Biochemicals, BOS-889-001-R200) is very useful for visualizing the nucleus. This dye occupies the FL6 channel (similar to PE-Cy5). Cells do not have to be permeabilized for Draq-5 uptake. It is not washed out and can be added 10 minutes prior to sample acquisition. Use the Amnis worksheet to design your experiment and record cytometer settings.




