CellVysion Specifications & References

Find here all specifications and references concerning our product CellVysion.

CellVysion Hardware & Software

  • Continuously filming the reflectivity conditions of the entire sensor (based on SPR-imaging).
  • Storing a stack of images for analyzing the sensorgrams from hundreds of Regions of Interests.
  • Proprietary dual cuvette injection flow (CIF) channels.
  • All scripts are pre-set and self explaining – no need to understand underlying techniques.
  • Additional, patent pending continuously ligand gradient generation for both channels.
  • 8-Port syringe pump with connections to immobilization-, running buffer, regeneration solution and waste vessel. 4 Ports to operate the double CIF automatically.
  • Motorized angle set using histogram inspection.
  • The reflectivity levels are calibrated to refractive index units (μRIU) for referencing purposes.
  • Drain pump to empty the cuvette injection flow system automatically.
  • Calibrate, Reference, Align, Zero and Export (CRAZE) software to streamline the data.
  • Export to Scrubber software or other commercial analysis software for calculating the rate constants.
  • Software to determine the extrapolated KDR0 and kDR0 constants from hundreds of Regions of Interests.
  • Double screens 1) to operate the fluidics and logging and 2) to visualize the generated images.
  • Differential image to visualize changes in the image with respect to a reference image.
  • Export function to image processing software (e.g. ImageJ).
  • Ambient temperature operation.
  • Incubator accessory included for off-line incubation at desired temperatures e.g. 37oC.
  • Spotting tool accessory (6 spots) for on-line or off-line spotting of antibodies or receptors. ·     
  • Transportable device (about 10 kg), only 230 V AC connection required.
  • The CellVysion is operated with a laptop and an additional second screen (with HDMI connection).

CellVysion Application data

  • Suitable for cells, including adherent cells, extracellular vesicles, viruses, bacteria, LNPs.
  • Two-plex cell-biomarker detection on a ligand density gradient.
  • Four-plex cell biomarker visualization.
  • Small sample volume (50 μL for cell suspensions and 30 μl to generate the ligand density gradient).
  • Low quantity of cells needed (e.g. 100 cells).
  • No labels or pretreatment of cell samples required.

CellVysion Analyses

  • Specific surface receptor detection on living cells, extracellular vesicles, viruses, bacteria, LNPs.
  • Specific cell type enumeration.
  • Avidity ranking of cells on a gradient vs. antibodies.
  • Avidity change detection of opsonized cells.
  • Sub picogram secretion level detection per single cell using a so-called Gold Nanoparticle amplification cascade. See ref [6].
  • Ranking the number of cell surface markers per cell.

Literature References

1. Szittner Z, Bentlage AEH, Temming AR, Schmidt DE, Visser R, Lissenberg-Thunnissen S, Mok JY,
van Esch WJE, Sonneveld ME, de Graaf EL, Wuhrer M, Porcelijn L, de Haas M, van der Schoot CE and Vidarsson G (2023) Cellular surface plasmon resonance-based detection of anti-HPA-1a antibody glycosylation in fetal and neonatal alloimmune thrombocytopenia Front. Immunol. 14

 2. Ribao Chen, Qin Li, Youjun Zeng, Wei Sang, Shuo Tang, Yue Jiao, Jie Zhou, Zhourui Xu, Yonghong Shao, Ming Ying, Gaixia Xu (2023) Cellular analyses for label-free and rapid HER2-positive cancer diagnosis based on SPRi-modified with nanobody Sensors and Actuators B: Chemical , 395, 134490. 

3. Steven W. de Taeye, Arthur E. H. Bentlage, Mirjam M. Mebius, Joyce I. Meesters, Suzanne Lissenberg-Thunnissen, David Falck, Thomas Sénard, Nima Salehi, Manfred Wuhrer, Janine Schuurman, Aran F. Labrijn, Theo Rispens and Gestur Vidarsson (2020) FcgR Binding and ADCC Activity of Human IgG Allotypes Front. Immunol. , 11, 740

4. Richard B. M. Schasfoort, Fekri Abali, Ivan Stojanovic, Gestur Vidarsson and Leon W. M. M. Terstappen (2018) Trends in SPR Cytometry: Advances in Label-Free Detection of Cell Parameters Biosensors, 8, 102

5. Ivan Stojanovic, Carolina F. Ruivo, Thomas J. G. van der Velden, Richard B. M. Schasfoort and Leon W. M. M. Terstappen (2019) Multiplex Label Free Characterization of Cancer Cell Lines Using Surface Plasmon Resonance Imaging. Biosensors, 9, 70

6. Hendriks, J., Stojanovic, I., Schasfoort, R. B., Saris, D. B., & Karperien, M. (2018). Nanoparticle enhancement cascade for sensitive multiplex measurements of biomarkers in complex fluids with surface plasmon resonance imaging. Analytical chemistry, 90(11), 6563-6571.

7. Ivan Stojanović, Yoeri van Hal, Thomas J.G. van der Velden, Richard B.M. Schasfoort, Leon W.M.M. Terstappen (2016)  Detection of apoptosis in cancer cell lines using Surface Plasmon Resonance imaging. Sensing and Bio-Sensing Research Volume 7, March 2016, Pages 48-54.

8. Yuhki Yanase, Kyohei Yoshizaki, Kaiken Kimura, Tomoko Kawaguchi, Michihiro Hide, and Shigeyasu Uno (2019) Development of SPR Imaging-Impedance Sensor for Multi-Parametric Living Cell Analysis Sensors (Basel). 2019 May; 19(9): 2067.

9. Richard BM Schasfoort, Daja vande Vosse, Jos van Weperen (2024) Gradient Method to Determine the Avidity of Cell Binding. Mini Review. Research in Medical & Engineering Sciences Volume 11, Issue 1.

10. Schuck P, Zhao H (2010) The role of mass transport limitation and surface heterogeneity in the biophysical characterization of macromolecular binding processes by SPR biosensing. Methods in Molecular Biology 627: 15-54. 

11. Schasfoort RBM, Lau W, Kooi A, Clevers H, Engbers GHM (2012) Method for estimating the single molecular affinity. Anal Biochem 421(2): 794- 796. 

12. Schasfoort Richard BM (2017) Handbook of surface plasmon resonance. Royal Society of Chemistry, United Kingdom.