Abstract
Due to their small size and related interesting properties, artificial nanomaterials are utilized for a great number of biological and medical applications. Cell entry routes, intracellular trafficking and processing of nanoparticles, which determine their fate, efficiency, and toxicity, are depending on various parameters of the specific nanomaterial, such as size, surface charge, surface chemistry and elasticity. Nanoparticle-cell interactions are typically elucidated by means of fluorescence microscopy as cell functions can be observed by a multiplicity of commercially available probes. For the quantification of cell features from images (image cytometry), computer-based algorithms are favoured to avoid bias introduced by the subjective perception of the observer. By applying high throughput microscopy in combination with digital image cytometry the screening of high numbers of cells is made possible yielding statistically meaningful results. In this chapter methods from digital image cytometry are described for assessing the interactions of cells with nanostructures.
This chapter is adopted from the PhD thesis of Dr. Raimo Hartmann, submitted and accepted by the Physics Department of the Philipps Universität Marburg in 2015.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Also referred to as high-content screening (HCS).
- 2.
d h = hydrodynamic diameter.
- 3.
1321 N1, SH-SY5Y, Raw267.4, A549, hCMEC, HepG2, and HEK293 cells.
- 4.
Jan et al. [52] did not provide any further characterization in their work.
- 5.
Depending on the optical properties of the fluorescent complex and the instrumentation.
- 6.
Splines are piecewise-defined polynomial functions.
- 7.
- 8.
For instance, in the case of adherent cells, no detachment and transfer into certain buffers prior to cytometric measurements are required.
References
Goesmann H, Feldmann C (2010) Nanoparticulate functional materials. Angew Chemie Int Ed 49:1362–1395
Jain PK, Huang X, El-Sayed IH, El-Sayed MA (2008) Noble metals on the nanoscale: optical and photothermal properties and some applications in imaging, sensing, biology, and medicine. Acc Chem Res 41:1578–1586
Barreto JA, O’Malley W, Kubeil M et al (2011) Nanomaterials: applications in cancer imaging and therapy. Adv Mater 23:H18–H40
Guo D, Xie G, Luo J (2014) Mechanical properties of nanoparticles: basics and applications. J Phys D Appl Phys 47:013001
Daniel MC, Astruc D (2004) Gold nanoparticles: assembly, supramolecular chemistry, quantum-size-related properties, and applications toward biology, catalysis, and nanotechnology. Chem Rev 104:293–346
Brannon-Peppas L, Blanchette JO (2012) Nanoparticle and targeted systems for cancer therapy. Adv Drug Deliv Rev 64:206–212
McCarthy JR, Kelly KA, Sun EY, Weissleder R (2007) Targeted delivery of multifunctional magnetic nanoparticles. Nanomedicine 2:153–67
Liong M, Lu J, Kovochich M et al (2008) Multifunctional inorganic nanoparticles for imaging, targeting, and drug delivery. ACS Nano 2:889–896
Jun YW, Lee JH, Cheon J (2008) Chemical design of nanoparticle probes for high-performance magnetic resonance imaging. Angew Chemie - Int Ed 47:5122–5135
Casula MF, Floris P, Innocenti C et al (2010) Magnetic resonance imaging contrast agents based on iron oxide superparamagnetic ferrofluids. Chem Mater 22:1739–1748
Dutz S, Andrä W, Hergt R et al (2007) Biomedical heating applications of magnetic iron oxide nanoparticles. In: Magjarevic R (ed) World congress on medical physics and biomedical engineering 2006 SE - 76. Springer, Heidelberg, pp 271–274
Sperling RA, Rivera Gil P, Zhang F et al (2008) Biological applications of gold nanoparticles. Chem Soc Rev 37:1896–1908
Xia Y (2008) Nanomaterials at work in biomedical research. Nat Mater 7:758–760
Somers RC, Bawendi MG, Nocera DG (2007) CdSe nanocrystal based chem-/bio- sensors. Chem Soc Rev 36:579–591
Klostranec JM, Chan WCW (2006) Quantum dots in biological and biomedical research: recent progress and present challenges. Adv Mater 18:1953–1964
Murphy CJ, Gole AM, Stone JW et al (2008) Gold nanoparticles in biology: beyond toxicity to cellular imaging. Acc Chem Res 41:1721–1730
Saha K, Agasti SS, Kim C et al (2012) Gold nanoparticles in chemical and biological sensing. Chem Rev 112:2739–2779
Lévy R, Shaheen U, Cesbron Y, Sée V (2010) Gold nanoparticles delivery in mammalian live cells: a critical review. Nano Rev 1
Thiesen B, Jordan A (2008) Clinical applications of magnetic nanoparticles for hyperthermia. Int J Hyperthermia 24:467–474
Jain PK, ElSayed IH, El-Sayed MA (2007) Au nanoparticles target cancer. Nano Today 2:18–29
Neely A, Perry C, Varisli B et al (2009) Ultrasensitive and highly selective detection of alzheimer’s disease biomarker using two-photon rayleigh scattering properties of gold nanoparticle. ACS Nano 3:2834–2840
Fan J, Li H, Jiang J et al (2008) 3c-sic nanocrystals as fluorescent biological labels. Small 4:1058–1062
Zhang S, Li J, Lykotrafitis G et al (2009) Size-dependent endocytosis of nanoparticles. Adv Mater 21:419–424
Stoehr LC, Gonzalez E, Stampfl A et al (2011) Shape matters: effects of silver nanospheres and wires on human alveolar epithelial cells. Part Fibre Toxicol 8:36
Hühn D, Kantner K, Geidel C et al (2013) Polymer-coated nanoparticles interacting with proteins and cells: focusing on the sign of the net charge. ACS Nano 7:3253–3263
Harush-Frenkel O, Rozentur E, Benita S, Altschuler Y (2008) Surface charge of nanoparticles determines their endocytic and transcytotic pathway in polarized mdck cells. Biomacromolecules 9:435–443
Schweiger C, Hartmann R, Zhang F et al (2012) Quantification of the internalization patterns of superparamagnetic iron oxide nanoparticles with opposite charge. J Nanobiotechnology 10:28
Anguissola S, Garry D, Salvati A et al (2014) High content analysis provides mechanistic insights on the pathways of toxicity induced by amine-modified polystyrene nanoparticles. PLoS One 9:e108025
Hartmann R, Weidenbach M, Neubauer M et al (2015) Stiffness-dependent in vitro uptake and lysosomal acidification of colloidal particles. Angew Chemie Int Ed 54:1365–1368
Banquy X, Suarez F, Argaw A et al (2009) Effect of mechanical properties of hydrogel nanoparticles on macrophage cell uptake. Soft Matter 5:3984
Liu W, Zhou X, Mao Z et al (2012) Uptake of hydrogel particles with different stiffness and its influence on hepg2 cell functions. Soft Matter 8:9235
Cedervall T, Lynch I, Lindman S et al (2007) Understanding the nanoparticle-protein corona using methods to quantify exchange rates and affinities of proteins for nanoparticles. Proc Natl Acad Sci U S A 104:2050–2055
Nel AE, Mädler L, Velegol D et al (2009) Understanding biophysicochemical interactions at the nano-bio interface. Nat Mater 8:543–557
Monopoli MP, Aberg C, Salvati A, Dawson KA (2012) Biomolecular coronas provide the biological identity of nanosized materials. Nat Nanotechnol 7:779–786
Jiang X, Röcker C, Hafner M et al (2010) Endo- and exocytosis of zwitterionic quantum dot nanoparticles by live hela cells. ACS Nano 4:6787–6797
Ma X, Hartmann R, Jimenez de Aberasturi D, Yang F, Soenen S. J, Manshian B, Franz J, Valdeperez D, Pelaz B, Hampp N et al. (n.d.) Nano Today, in revision.
Kim JA, Åberg C, Salvati A, Dawson KA (2011) Role of cell cycle on the cellular uptake and dilution of nanoparticles in a cell population. Nat Nanotechnol 7:62–68
De Jong WH, Hagens WI, Krystek P et al (2008) Particle size-dependent organ distribution of gold nanoparticles after intravenous administration. Biomaterials 29:1912–1919
Van Der Zande M, Vandebriel RJ, Van Doren E et al (2012) Distribution, elimination, and toxicity of silver nanoparticles and silver ions in rats after 28-day oral exposure. ACS Nano 6:7427–7442
Kreyling WG, Abdelmonem AM, Ali Z et al (2015) In vivo integrity of polymer-coated gold nanoparticles. Nat Nanotechnol 10:619–623
Haney SA (2007) High content screening: science, techniques and applications. High Content Screen Sci Tech Appl 1:391
Gasparri F (2009) An overview of cell phenotypes in hcs: limitations and advantages. Expert Opin Drug Discov 4:643–657
Taylor DL, Haskins JR, Giuliano KA (2007) High content screening : a powerful approach to systems cell biology and drug discovery
Richards GR, Smith AJ, Parry F et al (2006) A morphology- and kinetics-based cascade for human neural cell high content screening. Assay Drug Dev Technol 4:143–152
Fennell M, Chan H, Wood A (2006) Multiparameter measurement of caspase 3 activation and apoptotic cell death in nt2 neuronal precursor cells using high-content analysis. J Biomol Screen Off J Soc Biomol Screen 11:296–302
Inglefield JR, Larson CJ, Gibson SJ et al (2006) Apoptotic responses in squamous carcinoma and epithelial cells to small-molecule toll-like receptor agonists evaluated with automated cytometry. J Biomol Screen Off J Soc Biomol Screen 11:575–585
Lövborg H, Gullbo J, Larsson R (2005) Screening for apoptosis--classical and emerging techniques. Anticancer Drugs 16:593–599
Bertelsen M, Sanfridson A (2005) Inflammatory pathway analysis using a high content screening platform. Assay Drug Dev Technol 3:261–271
Lang P, Yeow K, Nichols A, Scheer A (2006) Cellular imaging in drug discovery. Nat Rev Drug Discov 5:343–356
Moffat J, Grueneberg DA, Yang X et al (2006) A lentiviral rnai library for human and mouse genes applied to an arrayed viral high-content screen. Cell 124:1283–1298
Bjorklund M, Taipale M, Varjosalo M et al (2006) Identification of pathways regulating cell size and cell-cycle progression by rnai. Nature 439:1009–1013
Jan E, Byrne SJ, Cuddihy M et al (2008) High-content screening as a universal tool for fingerprinting of cytotoxicity of nanoparticles. ACS Nano 2:928–38
Soenen SJ, Manshian B, Montenegro JM et al (2012) Cytotoxic effects of gold nanoparticles: a multiparametric study. ACS Nano 6:5767–5783
Solmesky LJ, Shuman M, Goldsmith M et al (2011) Assessing cellular toxicities in fibroblasts upon exposure to lipid-based nanoparticles: a high content analysis approach. Nanotechnology 22:494016
Verma A, Stellacci F (2010) Effect of surface properties on nanoparticle-cell interactions. Small 6:12–21
Lindblad J (2002) Development of algorithms for digital image cytometry
Carpenter AE, Jones TR, Lamprecht MR, Clarke C, Kang IH, Friman O, Guertin DA, Chang JH, Lindquist RA, Moffat J et al (2006) Cellprofiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol 7:R100
Basiji DA, Ortyn WE, Liang L et al (2007) Cellular image analysis and imaging by flow cytometry. Clin Lab Med 27:653–670
Dreinhöfer KE, Baldetorp B, Åkerman M et al (2002) DNA ploidy in soft tissue sarcoma: comparison of flow and image cytometry with clinical follow-up in 93 patients. Clin Cytom 50:19–24
Boland MV, Markey MK, Murphy RF (1998) Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images. Cytometry 33:366–375
Kim TK, Eberwine JH (2010) Mammalian cell transfection: the present and the future. Anal Bioanal Chem 397:3173–3178
Donaldson JG (2002) Immunofluorescence staining. Curr Protoc Immunol Chapter 21, Unit 21.3.
Suzuki T, Matsuzaki T, Hagiwara H et al (2007) Recent advances in fluorescent labeling techniques for fluorescence microscopy. Acta Histochem Cytochem 40:131–137
Hartmann R, Carregal-Romero S, Parak WJ, Rivera_Gil P (2012) Investigating nanoparticle internalization patterns by quantitative correlation analysis of microscopy imaging data. In: de la Fuente JM, Grazu V (eds) Inorganic nanoparticles vs organic nanoparticles. Elsevier Ltd, Amsterdam, p 181
Pawley JB, Masters BR (2008) Handbook of biological confocal microscopy, third edition. J Biomed Opt 13:029902
Gonzalez RC, Woods RE (2007) Digital image processing. 976
Lindblad J, Bengtsson E (2001) A comparison of methods for estimation of intensity non uniformities in 2d and 3d microscope images of fluorescence stained cells. In: Proceedings of 12th Scandinavian conference on image analysis, 264–271.
Landmann L (2002) Deconvolution improves colocalization analysis of multiple uorochromes in 3d confocal data sets more than ltering techniques. Imaging 208:134–147
Chen S, Leung H (2004) Chaotic spread spectrum watermarking for remote sensing images. J Electron Imaging 13:220
Vincent L (1993) Morphological grayscale reconstruction in image analysis: applications and efficient algorithms. IEEE Trans Image Process 2:176–201
Meyer F, Beucher S (1990) Morphological segmentation. J Vis Commun Image Represent 1:21–46
Jones TR, Carpenter A, Golland P (2005) Voronoi-based segmentation of cells on image manifolds. In: Computer vision for biomedical image applications. Springer, Heidelberg, pp 535–543
Aurenhammer F (1991) Voronoi diagrams - a survey of a fundamental geometric data structure. ACM Comput Surv 23:345–405
Ballard DH (1981) Generalizing the hough transform to detect arbitrary shapes. Pattern Recognit 13:111–122
Rodenacker K, Bengtsson E (2003) A feature set for cytometry on digitized microscopic images. Anal Cell Pathol 25:1–36
Perlman ZE, Slack MD, Feng Y et al (2004) Multidimensional drug profiling by automated microscopy. Science 306:1194–1198
Mitchison TJ (2005) Small-molecule screening and profiling by using automated microscopy. ChemBioChem 6:33–39
Jaqaman K, Loerke D, Mettlen M et al (2008) Robust single-particle tracking in live-cell time-lapse sequences. Nat Methods 5:695–702
Haralick RM (1979) Statistical and structural approaches to texture. Proc IEEE 67:786–804
Pelaz B, del Pino P, Maffre P et al (2015) Surface functionalization of nanoparticles with polyethylene glycol: effects on protein adsorption and cellular uptake. ACS Nano 9:6996–7008
Hartmann R, Carregal-Romero S, Parak WJ, Rivera-Gil P (2012) Investigating nanoparticle internalization patterns by quantitative correlation analysis of microscopy imaging data. Front Nanosci 4:181–196
Manders EMM, Verbeek FJ, Aten JA (1993) Measurement of colocalization of objects in dual-color confocal images. J Microsc 169:375–382
Crocker J, Crocker J, Grier D (1996) Methods of digital video microscopy for colloidal studies. J Colloid Interface Sci 179:298–310
Jaqaman K, Danuser G (2009) Computational image analysis of cellular dynamics: a case study based on particle tracking. Cold Spring Harb. Protoc. 4
Purschke M, Rubio N, Held KD, Redmond RW (2010) Phototoxicity of hoechst 33342 in time-lapse fluorescence microscopy. Photochem Photobiol Sci 9:1634–1639
Jones SA, Shim S-H, He J, Zhuang X (2011) Fast, three-dimensional super-resolution imaging of live cells. Nat Methods 8:499–508
Huang B, Bates M, Zhuang X (2009) Super-resolution fluorescence microscopy. Annu Rev Biochem 78:993–1016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this chapter
Cite this chapter
Hartmann, R., Parak, W.J. (2016). Microscopy-Based High-Throughput Analysis of Cells Interacting with Nanostructures. In: Singh, S. (eds) Systems Biology Application in Synthetic Biology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2809-7_9
Download citation
DOI: https://doi.org/10.1007/978-81-322-2809-7_9
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2807-3
Online ISBN: 978-81-322-2809-7
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)