Matching Cell Counts between Vi–CELL XR and Vi–CELL BLU
When a new instrument technology is introduced it may be necessary to revalidate existing protocols on the new platforms. With this consideration in mind we have designed the Vi–CELL BLU with the flexibility to adjust the measurement parameters to match results obtained on an existing Vi–CELL XR system. Complete matching may not be possible in all cases as the performance characteristics between the two instrument are different. However, for many standard types of cells it should be possible to match the results between machines to acceptable levels.
To demonstrate this, a series of different types of cells were run on the Vi–CELL XR using typical Cell Type parameters for the cells used. Duplicate samples were also run on Vi–CELL BLU instruments using the system default Cell Type parameters. The Vi–CELL BLU data were reanalyzed, adjusting the Cell Type parameters as necessary, until a new Cell Type provided a Cell Concentration match within +/–5%* and Viable cell density levels within +/–2.5%* of the Vi-CELL XR results. Replicate samples were then run using the new Cell Type to confirm the results.
Methods
- The Vi–CELL XR and Vi–CELL BLU instruments were first baselined using manufacturer recommended standard beads and protocols.
- Instrument performance was then verified using 1M beads/mL BEC concentration controls (Catalog number 175478) on Vi–CELL XR and Vi–CELL BLU instruments. (Alternative bead concentrations can be utilized as long as the concentration is determined using another particle counter such as a Multisizer Coulter Counter).
- Before proceeding the concentration measurements of instruments need to be within 5% of each other.
- Run samples of cells on Vi–CELL XR using the desired Cell Types. Cells need to be > 2M/mL and > 50% viability (> 70% is preferred). Export data for later analysis. Replicate samples are recommended to improve statistical confidence.
- Run samples of the same cells on the Vi–CELL BLU using the nearest equivalent default Cell Type parameters (typically Mammalian). Export data for later analysis.
- Use Cell Type: Reanalysis option (Figure 1) to adjust Vi–CELL BLU Cell Type parameters to match cell concentration and viability to within 10% of report Vi–CELL XR concentration and within 5% reported viability. Save Adjusted Cell Types.
Figure 1. Cell type parameter reanalysis option
Figure 2. Cell type renanalysis
Guidelines for Adjusting Cell Type Parameters
- Use the annotated images in Vi–CELL XR and Vi–CELL BLU software to determine which parameters to adjust.
- Min and Max Diameters and Decluster Degree will most likely change the Cell Concentration value and reported Average Diameter. These parameters have the biggest impact on which objects are included in the overall count (analysis population). Use annotation to adjust if small or large cells are circled blue.
- Viable spot brightness is adjusted to match viability, use image annotations to adjust if dead cells are circled green or live cells are circled red (see next slide). Note that Viable Spot Brightness is inversely related to Viability % as increasing the brightness threshold for what defines a live cell will reduce the number of cells scored as live.
- Decluster degree can be increased if cells are not accurately counted in clumps or decreased if excess cells are present in clumps. Note that changing decluster will require the full image set to be saved to get accurate results as the images have to be reanalyzed to generate a new object population.
- Circularity and sharpness can be increased to eliminate debris. Viable spot area can also be used to filter out debris.
For cells that deviate significantly between the instruments, check the analysis images and ensure that there are not excessive clumping or for cells are inadequately stained. Some cell types such as adherent cells can be rather clustered whereas yeast and other cell walled organisms may show resistance to trypan blue uptake. To help address this it may be necessary to rerun samples with the following changes.
- Increasing aspiration cycles can be used to declump cells.
- Increasing trypan blue mixing cycles can be used to allow for more staining time if dead cells seem faint and are not circled red.
To evaluate the instrument matching approach cells were run on 3 Vi–CELL BLU and 3 Vi–CELL XR systems using the same default cell profiles as outlined below. The goal is to match the systems within +/–5% (10% range) for Concentration and Diameter and within +/–2.5% (5% range) for Viability. This degree of tolerance was chosen as it falls within the performance criteria for the Vi–CELL BLU instrument. Users can determine their own degree of matching but these general guidelines will typically put the measured values within statistically acceptable limits.
Results
CHO Cells
CHO cells were run on the Vi–CELL XR and Vi–CELL BLU. A default CHO cell profile was used on the Vi–CELL XR and the default Mammalian Cell Profile used on the Vi–CELL BLU.
Vi-CELL BLU | Vi-CELL XR | |
Cell Type |
Mammalian | CHO |
Minimum Diameter (μm) | 6 | 6 |
Maximum Diamter (μm) |
30 | 70 |
Images | 100 | 50 |
Cell Sharpness | 7 | 100 |
Minimum circulatiry | 0.1 | 0 |
Decluster degree | Medium | Low |
Aspiration cycles | 3 | 1 |
Viable spot brightness 8%) | 55 | 75 |
Viable spot area (%) | 5 | 5 |
Mixing cycles | 3 | 3 |
Figure 3. Cell concentrations from 3 Vi-CELL BLUs and 3 Vi-CELL XRs
Figure 4. Cell viability from 3 Vi-CELL BLUs and 3 Vi-CELL XRs
Figure 5. Cell diameter from 3 Vi-CELL BLUs and 3 Vi-CELL XRs
The Vi–CELL BLU instruments matched the values of the Vi–CELL XR systems within statistical limits. Taking the average of the two systems populations cell concentration, viability and diameter match within the target limit of +/–5%. No further refinement appears necessary in this case as the default Mammalian Cell Type works very well here.
Concentration +/- 5% | Viability +/- 2.5% | Average Diameter +/- 5% | |
Vi-CELL XR Average | 2.05 | 95.46 | 16.23 |
Vi-CELL BLU Average | 2.02 | 93.51 | 16.52 |
Difference from XR Average | -1.66% | 1.14% | 1.79% |
HELA Cells
HELA is a widely used cell type for cell biology research but unlike CHO and Jurkat cells HELAs are grown attached to a solid substrate and require trypsinization to release them into suspension. As such they can be prone to more clustering than suspension cells. They also have a different size distribution compared to CHO cells.
To evaluate the default mammalian cell profile against another mammalian cell line HELAs were grown in flasks and then released and suspended at a concentration of approximately 6M/mL.
The cells were run on 3 Vi–CELL BLU and 2 Vi–CELL XR systems using the same default profiles as outlined above. The averages for the systems were used for the matching exercise. The goal is to match the systems within +/–5% (10% range) for Concentration and Diameter and within +/–2.5% (5% range) for viability. This degree of tolerance was chosen as it falls within the performance criteria for the Vi–CELL BLU instrument. Users can determine their own degree of matching but these general guidelines will typically put the measured values within statistically acceptable limits.
Vi-CELL BLU | Vi-CELL XR | |
Cell Type |
Mammalian | CHO |
Minimum Diameter (μm) | 6 | 6 |
Maximum Diamter (μm) |
30 | 70 |
Images | 100 | 50 |
Cell Sharpness | 7 | 100 |
Minimum circulatiry | 0.1 | 0 |
Decluster degree | Medium | Low |
Aspiration cycles | 3 | 1 |
Viable spot brightness 8%) | 55 | 75 |
Viable spot area (%) | 5 | 5 |
Mixing cycles | 3 | 3 |
In addition to the default a combination of different variants of cell profiles was used to reanalyze the data to define a range of settings based on the default Mammalian profile to determine if a more precise match between the Vi–CELL BLU and Vi–CELL XR could be found. These are summarized below.
Cell Type | MT01 | MT02 | MT03 | MT04 | MT05 | MT06 | MT07 | MT08 | MT09 | MT10 |
Minimum Diameter (μm) |
6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 5 | 5 |
Maximum Diameter (μm) | 20 | 40 | 20 | 40 | 20 | 40 | 20 | 40 | 20 | 20 |
Images | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Cell Sharpness | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 |
Minimum Circularity | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 |
Decluster Degree | High | High | High | High | Low | Low | Low | Low | Low | None |
Aspiration Cycles | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
Viable Spot Brightness (%) | 40 | 40 | 90 | 90 | 40 | 40 | 90 | 90 | 75 | 75 |
Viable Spot Area (%) | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
Mixing Cycles | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
Figure 6. Cell concentration matching for HELA cells
Figure 7. Cell viability matching for HELA cells
Figure 8. Cell average diameter matching for HELA cells
The table below shows the percentage difference between the Vi–CELL BLU values for the different cell profiles used compared to the Vi–CELL XR.
Cell Profile | Concentration +/-5% | Viability +/- 2.5 | Average Diameter +/- 5% |
Mammalian | -0.01% | 2.73% | -2.53% |
MT01 | 4.82% | 9.84% | -2.84% |
MT02 | 5.00% | 9.52% | -1.85% |
MT03 | 4.34% | -7.42% | -2.46 |
MT04 | 2.23% | -7.63% | -1.58% |
MT05 | 5.35% | 9.54% | -1.08% |
MT06 | 5.92% | 9.82% | -0.08% |
MT07 | 5.26% | -6.30% | -0.68% |
MT08 | 6.40% |
-7.31% |
0.25% |
MT09 | 2.32% | -1.81% | -3.19% |
MT10 | -13.43% | -3.04% | -1.67% |
From the table above we can see that the default Mammalian profile provided a good match for Concentration, viability and average diameter. However Cell Profile MT09 appears to be a stronger cell type candidate as its results are a closer match for all 3 parameters
Further refinement of the MT09 profile could be applied if a closer match was desired. Altering the cell profile as show below improves the match for Viability and Diameter even further.
Cell Type | MT09 | MT09* |
Minimum Diameter | 5 | 5 |
Maximum Diameter | 20 | 25 |
Images | 100 | 100 |
Cell Sharpness | 7 | 7 |
Minimum Circularity | 0.1 | 0.1 |
Decluster Degree | Low | Low |
Aspiration Cycles | 3 | 3 |
Viable Spot Brightness (%) | 75 | 70 |
Viable Spot Area (%) | 5 | 5 |
Mixing Cycles | 3 | 3 |
Cell Profile | Concentration +/- 5% | Viability +/- 2.5 | Average Diameter +/- 5% |
MT09 | 2.32% | -1.81% | -3.19% |
MT09* | 2.58% | -1.25% | -1.71% |
Conclusion
To match values between a Vi–CELL XR and Vi–CELL BLU the recommendation is to start with the most appropriate default Cell Profile in the Vi–CELL BLU software for the cell type being sampled. Only if the result deviates more than the desired value (5% or 10% for example) should further fine tuning be necessary.
* Results may vary for different cell lines, concentrations or viability ranges
The Vi-CELL MetaFLEX and Vi-CELL BLU make a perfect pair. Discover the Vi-CELL MetaFLEX
A cellular environment can change quickly. The Vi-CELL MetaFLEX is a bioanalyte analyser that quickly monitors changes in cell metabolic activity. It utilises thick film technology and miniaturised sensors to measure pH, pO2, pCO2, glucose, lactate, electrolytes and more parameters. All tests are carried out on just 65 μL of sample.
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- Using k-Factor to Compare Rotor Efficiency
- Vaporized Hydrogen Peroxide Decontamination of Vi–CELL BLU Instrument
- Automating the Valita Titer IgG Quantification Assay on a Biomek i-Series Liquid Handling System
- Vi-CELL BLU Regulatory Compliance - 21 CFR Part 11
- Viral Vector Purification with Ultracentrifugation
- Analytical Ultracentrifugation (AUC) for Characterization of Lipid Nanoparticles (LNPs): A Comprehensive Review
- Leveraging Analytical Ultracentrifugation for Comprehensive Characterization of Lipid Nanoparticles in Drug Delivery Systems
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Brochures, Flyers and Data Sheets
- Access Single Robot System for Synthetic Biology Workflows
- Automated Solutions for Cell Line Development
- Automated Solutions for ELISA
- Echo Acoustic Liquid Handling for Synthetic Biology
- HIAC 8011+ Liquid Particle Counting Systems
- HIAC 9703+ Sub-Visible Particulate Testing
- LS 13 320 XR - Laser Diffraction Particle Size Analyzer
- Download the Valita Titer Assay Brochure
-
Case Studies
- Adenoviral Vectors Preparation
- Algae Biofuel Production
- Antibody and Media Development
- Autophagy
- B Cell Research
- Basic Research on Reproductive Biology
- Cardiovascular Disease Research
- Cell Marker Analysis
- Choosing a Tabletop Centrifuge
- Collagen Disease Treatment
- Controlling Immune Response
- Creating Therapeutic Agents
- DNA Extraction from FFPE Tissue
- English Safety Seminar
- Equipment Management
- Exosome Purification Separation
- Fast, Cost-Effective and High-Throughput Solutions for DNA Assembly
- Future of Fishing Immune Research
- Hematopoietic Tumor Cells
- High-throughput next-generation DNA sequencing of SARS-CoV-2 enabled by the Echo 525 Liquid Handler
- Hiroshima Genbaku HP Hematopoietic Tumor Testing
- iPS Cell Research
- Leveraging acoustic and tip-based liquid handling to increase throughput of SARS-CoV-2 genome sequencing
- Membrane Protein Purification X Ray Crystallography
- Organelles Simple Fractionation
- Particle Interaction
- Quality evaluation of gene therapy vector
- Retinal Cell Regeneration
- Sedimentary Geology
- Severe Liver Disease Treatment
- Tierra Biosciences reveals major molecular discovery
- Treating Cirrhosis
- University Equipment Management
- Fundamentals of Ultracentrifugal Virus Purification
- Catalogs
- Flyers
-
Interviews
- Background and Current Status of the Introduction of Flow Cytometers
- Benefits-of-the-coulter-principle-in-the-manufacturing-for-ips-cell-derived-natural-killer-cells
- Central Diagnosis in the Treatment of Childhood Leukemia 1
- Central Diagnosis in the Treatment of Childhood Leukemia 2
- Challenges-in-viability-cell-counting
- Contribution of Cytobank to 1-cell analysis of the cancer microenvironment
- Development of technology for social implementation of synthetic biology
- Flow Cytometry Testing in Hospital Laboratories
- Fundamentals of Ultracentrifugal Virus Purification
- The MET ONE 3400+ Automates Routine Environmental Monitoring for GMP Cleanroom Compliance
- Tumor Suppressor Gene p53 research and DNA Cleanup Process
- Fundamentals of Ultracentrifugal Virus Purification
- Dr Yabui UCF Lecture
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Posters
- Applications of Ultracentrifugation in Purification and Characterization of Biomolecules
- Automating Genomic DNA Extraction from Whole Blood and Serum with GenFind V3 on the Biomek i7 Hybrid Genomic Workstation
- ABRF 2019: Automated Genomic DNA Extraction from Large Volume Whole Blood
- Automated library preparation for the MCI Advantage Cancer Panel at Miami Cancer Institute utilizing the Beckman Coulter Biomek i5 Span-8 NGS Workstation
- Automating Cell Line Development for Biologics
- Cellular Challenges: Taking an Aim at Cancer
- Cell-Line Engineering
- Characterizing the Light-Scatter Sensitivity of the CytoFLEX Flow Cytometer
- AACR 2019: Isolation and Separation of DNA and RNA from a Single Tissue or Cell Culture Sample
- Mastering Cell Counting
- Preparing a CytoFLEX for Nanoscale Flow Cytometry
- A Prototype CytoFLEX for High-Sensitivity, Multiparametric Nanoparticle Analysis
- ABRF 2019: Simultaneous DNA and RNA Extraction from Formalin-Fixed Paraffin Embedded (FFPE) Tissue
- Quantification of AAV Capsid Loading Fractions: A Comparative Study
- Using Standardized Dry Antibody Panels for Flow Cytometry in Response to SARS-CoV2 Infection
- Product Instructions
- Experimental Protocols
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Whitepapers
- Centrifugation is a complete workflow solution for protein purification and protein aggregation quantification
- AUC Insights - Analysis of Protein-Protein-Interactions by Analytical Ultracentrifugation
- A General Guide to Lipid Nanoparticles
- Addressing issues in purification and QC of Viral Vectors
- GMP Cleanrooms Classification and Routine Environmental Monitoring
- Purification of Biomolecules by DGUC
- AUC Insights - Assessing the quality of adeno-associated virus gene therapy vectors by sedimentation velocity analysis
- AUC Insights - Sample concentration in the Analytical Ultracentrifuge AUC and the relevance of AUC data for the mass of complexes, aggregation content and association constants
- Analyzing Biological Systems with Flow Cytometry
- Changes to USP <1788> Subvisible Particulate Matter
- Changes to USP <643> Total Organic Carbon
- Characterization of RNAdvance Viral XP RNA Extraction Kit using AccuPlex™ SARS–CoV–2 Reference Material Kit
- CytoFLEX Platform Flow Cytometers with IR Laser Configurations: Considerations for Red Emitting Dyes
- Evaluation of the Analytical Performance of the AQUIOS CL Flow Cytometer in a Multi-Center Study
- Simultaneous Isolation and Parallel Analysis of gDNA and total RNA for Gene Therapy
- Hydraulic Particle Counter Sample Preparation
- Inactivation of COVID–19 Disease Virus SARS–CoV–2 with Beckman Coulter Viral RNA Extraction Lysis Buffers
- Tips for Cell Sorting
- IVD-R Annex I Global Safety and Performances Requirements
- Liquid Biopsy Cancer Biomarkers – Current Status, Future Directions
- MET ONE 3400+ IT Implementation Guide
- Reproducibility in Flow Cytometry
- SuperNova v428: New Bright Polymer Dye for Flow Cytometry
- SuperNova v428: New Bright Polymer Dye for Flow Cytometry
- Japan Document
-
Application Notes