**Author details**

Ina Laura Pieper1,2\*, Gemma Radley1,3 and Catherine A. Thornton<sup>1</sup>

\*Address all correspondence to: i.l.pieper@swansea.ac.uk


## **References**

[1] Krabatsch T et al. Heartmate 3 fully magnetically levitated left ventricular assist device for the treatment of advanced heart failure—1 year results from the Ce mark trial. Journal of Cardiothoracic Surgery. 2017;**12**(1):23

[12] Shantsila E, Lip GY. The role of monocytes in thrombotic disorders. Insights from tissue factor, monocyte-platelet aggregates and novel mechanisms. Thrombosis and Hae-

Multidimensional Flow Cytometry for Testing Blood-Handling Medical Devices

http://dx.doi.org/10.5772/intechopen.76437

77

[13] Mondal NK et al. Infection, oxidative stress, and changes in circulating regulatory T cells of heart failure patients supported by continuous-flow ventricular assist devices. ASAIO

[14] Ankersmit HJ et al. Quantitative changes in T-cell populations after left ventricular assist device implantation: Relationship to T-cell apoptosis and soluble CD95. Circulation.

[15] Ankersmit HJ et al. Activation-induced T-cell death and immune dysfunction after implan-

[16] Dewald O et al. Platelet activation markers in patients with heart assist device. Artificial

[17] Matsubayashi H, Fastenau DR, McIntyre JA. Changes in platelet activation associated with left ventricular assist system placement. The Journal of Heart and Lung Transplantation.

[18] Mondal NK et al. Intraplatelet reactive oxygen species, mitochondrial damage and platelet apoptosis augment non-surgical bleeding in heart failure patients supported by

[19] Mondal NK et al. Oxidative stress induced modulation of platelet integrin alpha2bbeta3 expression and shedding may predict the risk of major bleeding in heart failure patients supported by continuous flow left ventricular assist devices. Thrombosis Research.

[20] Mondal, Nandan K, et al. Mechanistic insight of platelet apoptosis leading to non-surgical bleeding among heart failure patients supported by continuous-flow left ventricular

[21] Snyder TA et al. Leukocyte-platelet aggregates and monocyte tissue factor expression in bovines implanted with ventricular assist devices. Artificial Organs. 2007;**31**(2):126-131

[22] Carson SD, Bach R, Carson SM. Monoclonal antibodies against bovine tissue factor,

[23] Baker LC et al. Flow cytometric assays to detect platelet activation and aggregation in device-implanted calves. Journal of Biomedical Materials Research. 1998;**41**(2):312-321

[24] Snyder TA et al. Platelet activation, aggregation, and life span in calves implanted with axial flow ventricular assist devices. The Annals of Thoracic Surgery. 2002;**73**(6):1933-1938

[25] Snyder TA et al. Preclinical biocompatibility assessment of the EVAHEART ventricular assist device: Coating comparison and platelet activation. Journal of Biomedical Materials

continuous-flow left ventricular assist device. Platelets. 2015;**26**(6):536-544

assist devices. Molecular and cellular biochemistry 2017;433(1-2):125-137

which block interaction with factor VIIa. Blood. 1985;**66**(1):152-156

tation of left-ventricular assist device. Lancet. 1999;**354**(9178):550-555

mostasis. 2009;**102**(5):916-924

Journal. 2017;**63**(2):128-133

1999;**100**(19 Suppl):II211-II215

Organs. 2005;**29**(4):292-299

2000;**19**(5):462-468

2017;**158**:140-148

Research. Part A. 2007;**81**(1):85-92


[12] Shantsila E, Lip GY. The role of monocytes in thrombotic disorders. Insights from tissue factor, monocyte-platelet aggregates and novel mechanisms. Thrombosis and Haemostasis. 2009;**102**(5):916-924

**Author details**

**References**

Ina Laura Pieper1,2\*, Gemma Radley1,3 and Catherine A. Thornton<sup>1</sup>

1 Swansea University Medical School, Institute of Life Science, Swansea, UK

[1] Krabatsch T et al. Heartmate 3 fully magnetically levitated left ventricular assist device for the treatment of advanced heart failure—1 year results from the Ce mark trial. Journal

[2] Nascimbene A et al. Association between cell-derived microparticles and adverse events in patients with nonpulsatile left ventricular assist devices. The Journal of Heart and

[3] Sansone R et al. Macrovascular and microvascular function after implantation of left ventricular assist devices in end-stage heart failure: Role of microparticles. The Journal

[4] Woolley JR et al. Temporal leukocyte numbers and granulocyte activation in pulsatile and rotary ventricular assist device patients. Artificial Organs. 2014;**38**(6):447-455 [5] Woolley JR et al. Temporal leukocyte numbers and granulocyte activation in pulsatile

[6] Gasser O et al. Characterisation and properties of ectosomes released by human polymorphonuclear neutrophils. Experimental Cell Research. 2003;**285**(2):243-257

[7] Dalli J et al. Heterogeneity in neutrophil microparticles reveals distinct proteome and

[8] Pluskota E et al. Expression, activation, and function of integrin αMβ2 (Mac-1) on neu-

[9] Diehl P et al. Enhanced microparticles in ventricular assist device patients predict platelet, leukocyte and endothelial cell activation. Interactive Cardiovascular and Thoracic

[10] Wilhelm CR et al. Monocyte tissue factor expression and ongoing complement generation in ventricular assist device patients. The Annals of Thoracic Surgery. 1998;**65**(4):1071-1076

[11] Wilhelm CR et al. Measurement of hemostatic indexes in conjunction with transcranial Doppler sonography in patients with ventricular assist devices. Stroke. 1999;**30**

functional properties. Molecular & Cellular Proteomics. 2013;**12**(8):2205-2219

3 Calon Cardio-Technology Ltd, Institute of Life Science, Swansea, UK

\*Address all correspondence to: i.l.pieper@swansea.ac.uk

76 Multidimensional Flow Cytometry Techniques for Novel Highly Informative Assays

2 Scandinavian Real Heart AB, Västerås, Sweden

of Cardiothoracic Surgery. 2017;**12**(1):23

Lung Transplantation. 2014;**33**(5):470-477

of Heart and Lung Transplantation. 2015;**34**(7):921-932

and rotary ventricular assist device patients. Artificial Organs. 2013

trophil-derived microparticles. Blood. 2008;**112**(6):2327-2335

Surgery. 2010;**11**(2):133-137

(12):2554-2561


[26] Johnson CA Jr et al. Biocompatibility assessment of the first generation PediaFlow pediatric ventricular assist device. Artificial Organs. 2011;**35**(1):9-21

[41] Chang X, Gorbet M. The effect of shear on in vitro platelet and leukocyte materialinduced activation. Journal of Biomaterials Applications. 2013;**28**(3):407-415

Multidimensional Flow Cytometry for Testing Blood-Handling Medical Devices

http://dx.doi.org/10.5772/intechopen.76437

79

[42] Tabit CE et al. Tumor necrosis factor-alpha levels and non-surgical bleeding in continuousflow left ventricular assist devices. The Journal of Heart and Lung Transplantation. 2018;

[43] Rodriguez-Caballero A et al. A new simple whole blood flow cytometry-based method for simultaneous identification of activated cells and quantitative evaluation of cytokines released during activation. Laboratory Investigation. 2004;**84**(10):1387-1398 [44] Chan CH et al. Shear stress-induced total blood trauma in multiple species. Artificial

[45] Johnson CA Jr et al. Flow cytometric assays for quantifying activated ovine platelets.

[46] Pieper IL et al. Quantification methods for human and large animal leukocytes using

[47] Warrino DE et al. Stabilization of white blood cells and immunologic markers for extended analysis using flow cytometry. Journal of Immunological Methods. 2005;**305**(2):107-119

[48] Schumacher A.Effect of ex vivo storage and Cyto-Chex on the expression of P-selectin glycoprotein ligand-1 (PSGL-1) on human peripheral leukocytes. Journal of Immunological

[49] Saxton JM, Pockley AG. Effect of ex vivo storage on human peripheral blood neutrophil expression of CD11b and the stabilizing effects of Cyto-Chex. Journal of Immunological

DNA dyes by flow cytometry. Cytometry. Part A. 2016:565-574

**37**(1):107-115

Organs. 2017;**41**(10):934-947

Methods. 2007;**323**(1):24-30

Methods. 1998;**214**(1-2):11-17

Artificial Organs. 2008;**32**(2):136-145


[41] Chang X, Gorbet M. The effect of shear on in vitro platelet and leukocyte materialinduced activation. Journal of Biomaterials Applications. 2013;**28**(3):407-415

[26] Johnson CA Jr et al. Biocompatibility assessment of the first generation PediaFlow pedi-

[27] Johnson CA Jr et al. Platelet activation after implantation of the Levitronix PediVAS in

[28] Johnson CA Jr et al. Platelet activation in ovines undergoing sham surgery or implant of the second generation PediaFlow pediatric ventricular assist device. Artificial Organs.

[29] Chan CH et al. The evaluation of leukocytes in response to the in vitro testing of ven-

[30] Chan CH et al. The CentriMag centrifugal blood pump as a benchmark for in vitro testing of hemocompatibility in implantable ventricular assist devices. Artificial Organs.

[31] Pieper IL et al. Ovine leukocyte microparticles generated by the CentriMag ventricular

[32] Simmonds MJ, Meiselman HJ. Prediction of the level and duration of shear stress exposure that induces subhemolytic damage to erythrocytes. Biorheology. 2016;**53**(5-6):237-249

[33] Angelillo-Scherrer A. Leukocyte-derived microparticles in vascular homeostasis. Circu-

[34] Aass HC et al. Fluorescent particles in the antibody solution result in false TF- and CD14-positive microparticles in flow cytometric analysis. Cytometry. Part A. 2011;**79**

[35] Moazami N, Dembitsky WP, Adamson R. Does pulsatility matter in the era of continuousflow blood pumps? The Journal of Heart and Lung Transplantation. 2015;**34**

[36] Crow S et al. Gastrointestinal bleeding rates in recipients of nonpulsatile and pulsatile left ventricular assist devices. The Journal of Thoracic and Cardiovascular Surgery.

[37] Chan CH et al. The effect of shear stress on the size, structure, and function of human

[38] Schuster M et al. B-cell activation and allosensitization after left ventricular assist device implantation is due to T-cell activation and CD40 ligand expression. Human Immu-

[39] Schuster M et al. Induction of CD40 ligand expression in human T cells by biomaterials derived from left ventricular assist device surface. Transplantation Proceedings.

[40] Walkowiak-Przybylo M et al. Adhesion, activation, and aggregation of blood platelets

Al4

V and Ti<sup>6</sup>

Al<sup>7</sup>

Nb. Journal

von Willebrand factor. Artificial Organs. 2014;**38**(9):741-750

and biofilm formation on the surfaces of titanium alloys Ti<sup>6</sup>

of Biomedical Materials Research. Part A. 2012;**100(**(3):768-775

atric ventricular assist device. Artificial Organs. 2011;**35**(1):9-21

the ovine model. ASAIO Journal. 2011;**57**(6):516-521

78 Multidimensional Flow Cytometry Techniques for Novel Highly Informative Assays

tricular assist devices. Artificial Organs. 2013;**37**(9):793-801

2011;**35**(6):602-613

2015;**39**(2):93-101

(12):990-999

2009;**137**(1):208-215

nology. 2002;**63**(3):211-220

2001;**33**(1-2):1960-1961

assist device in vitro. Artificial Organs

lation Research. 2012;**110**(2):356-369


**Chapter 5**

**Provisional chapter**

**Efficient Interpretation of Multiparametric Data Using**

**Principal Component Analysis as an Example of Quality** 

**Efficient Interpretation of Multiparametric Data Using** 

DOI: 10.5772/intechopen.71460

**Principal Component Analysis as an Example of Quality**

Multiparametric flow cytometry (FCM) realizes high-throughput measurement, but multiparametric data make it difficult to interpret the complicated information. To present clear patterning graphs from FCM data, one must grasp the essence of the data. This study estimated the usefulness of principal component analysis (PCA), which reduces multidimensional information to arbitrary one-dimensional information. Recently, microalgae have attracted the attention of pharmaceutical, cosmetic, and food companies. Taking alga *Chlorella* as an example, this chapter presents the usefulness of PCA for the evaluation of algal quality using FCM. To evaluate the algal status effectively, *Chlorella* (control), heated algae, and metallic-treatment algae were prepared and quantified using FCM. FCM data were subjected to PCA analysis. To interpret correlativity among parameters, FCM data are generally expressed as histograms and scatter or contour plots. An operator using multiple parameters has difficulty finding high correlativity among parameters and presenting an effective graph. The PCA method produced new comprehensive axes with different inclination factors among parameters. Scatter plots using new axes showed patterns treatment dependently with different vectors. Results show that the PCA method can extract information of test objects from data and that it can contribute to effective interpretation of cell characteristics, even if data include multiparameters from FCM. **Keywords:** flow cytometry, multivariable analysis, cell status, cell cycle, *Chlorella*,

> © 2016 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution,

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,

distribution, and reproduction in any medium, provided the original work is properly cited.

and reproduction in any medium, provided the original work is properly cited.

Flow cytometry (FCM) can provide cell optical information from microbes to model animal and plant cells. Over the last several decades, FCM with those fundamental characteristics has

**Assessment of Microalgae**

**Assessment of Microalgae**

http://dx.doi.org/10.5772/intechopen.71460

chlorophyll, trace metal elements, slag

Additional information is available at the end of the chapter

Additional information is available at the end of the chapter

Toshiyuki Takahashi

**Abstract**

**1. Introduction**

Toshiyuki Takahashi

**Provisional chapter**
