Abstract
The microscope is certainly the first equipment that was used by biologists; its invention dates back 400 years, and it has remained an essential tool in biomedical research. Over these four centuries, the microscope has undergone significant improvements: several lenses have been added along the optical path to increase magnification; lens with fewer aberration defects have been produced; and August Köhler developed a technique enabling the proper illumination of a specimen. This kind of illumination generates an even illumination of the sample and prevents the illumination source (lamp filament) from being visible in the specimen image. Modern microscopes are composed of two-stage magnifying systems comprising a separate lens, the objective, and the ocular. The objective is the most important component of an optical microscope because it determines the quality of the final image, and a wide range of objectives are produced to satisfy a large number of applications. An objective is characterized by its numerical aperture, which determines its resolving power. Microscopes are now designed to investigate molecular mechanisms in living cells; for this reason, highly corrected water immersion objectives have been produced. The following microscopy techniques are described in this chapter:
Phase-Contrast Microscopy
Phase-contrast microscopy is a technique that can be applied to unstained biological specimens because it improves the contrast images of transparent specimens without affecting the resolution. It is mainly used to examine dynamic events in living cells. The technique is based on an optical mechanism that converts light phase variations into changes in amplitude, which can be visualized as differences in image contrast.
Differential Interference Contrast
Differential interference contrast is a mechanism for enhancing contrast in transparent specimens; it produces contrast by visually showing the refractive index gradients of different areas of a specimen. The light beam is polarized and then split into two separate beams, the distance of which is equal to the resolution of the objective lens. One beam path is directed through the specimen and the other acts as a reference beam; the two beams are then combined. Since different parts of the specimen have different refractive indices, when the beams are gathered by the second polarizing filter, the vibrational planes of the beams are restored, causing variations in amplitude that are visualized as differences in brightness.
Wide-Field Fluorescence
Wide-field fluorescence or epi-fluorescence microscopy is the most popular technique to acquire both topographical and dynamic information from a specimen. It is based on the irradiation of the whole sample with a light of a specific wavelength. The weaker emitted fluorescence is then separated from the stronger excitation light. The microscope is configured in such a way that only the emission light can reach the detector or eye. The resulting fluorescent image is superimposed with high contrast against a black background. The limits of detection are generally regulated by the contrast between the fluorescent image and the darkness of the background.
Confocal Microscopy
Confocal microscopy can produce images of a reduced degradation because most out-of-focus light from the specimen is removed. To do this, the confocal microscope is equipped with a pinhole located just before the emission filter and the detector in such a way that the irradiated surface of the specimen is on the same focal plane as the pinhole. Therefore, fluorescent light coming from specimen regions other than the focal plane is excluded, increasing image resolution. When the focus changes to a new specimen region along the z axis, the new region becomes confocal to the observed region on the detector. Thus, images of different specimen slices along the z axis can be obtained, and a 3-dimensional image can be reconstituted using appropriate software.
Total Internal Reflection Fluorescence
Total internal reflection fluorescence is based on an optical effect produced by a light beam passing at a high incident angle through glass (i.e., a coverslip) or plastic (i.e., a Petri dish). The difference between refractive indexes between the glass and the water determines the amount of refraction or reflection light at the interface as a function of the beam incident angle. At a specific angle of the glass (or plastic)–water interface, the light beam is totally reflected per a phenomenon described by Snell. The reflected light generates an electromagnetic field with the same frequency as the incident light, called an evanescent wave. Since this wave is produced by a very small (about 200 nm) electromagnetic field, and its intensity decreases exponentially with distance, only fluorophores located near the glass–liquid interface can be excited. This effect produces high-contrast images of the specimen surface with a considerable increase in signal-to-background ratio compared with classic wide-field microscopy.
Förster Resonance Energy Transfer
Förster resonance energy transfer is used to study inter- and intramolecular interactions in living cells. It is based on the transfer of non-radiative energy from a donor to an accepting fluorophore. To obtain a transfer, two essential requisite must exist: (1) the emission spectrum of the donor must overlap the excitation spectrum of the accepting fluorophore (the larger the overlapping area, the larger the transfer); and (2) the distance between the two fluorophores must be in the range of 10 nm as the transfer depends upon the molecular distance at an inverse sixth power. If these conditions are present, the experiment can be designed by setting the excitation of the donor and acquiring the fluorescence at the wavelength emission of the acceptor.
Fluorescence Recovery After Photobleaching
Photobleaching is generally an unwanted phenomenon in fluorescence microscopy because it reduces the intensity of the probe fluorescence. Photobleaching occurs after lengthy irradiation of molecules and seems to be due to the interaction of oxygen with an excited fluorophore. The oxygen radical reacts with the more reactive excited fluorophore and thus quenches the fluorescence. However, this quenching can be used in fluorescence recovery after photobleaching investigations to determine the kinetics of diffusion in living cells. In fact, if a small portion of the cell is subjected to long irradiation, the fluorescence in that area is completely quenched; the diffusion or active movement of molecules within the cell then replaces the bleached fluorophore with unbleached molecules that were located in a different part of the cell, thus restoring fluorescence.
Fluorescence Lifetime Imaging Microscopy
The fluorescence lifetime can be defined as the average time a molecule spends in its excited singlet state before spontaneous emission occurs. Fluorescence lifetime imaging microscopy (FLIM) has some advantages in terms of conventional fluorescence microscopy, because each fluorescent dye has its own lifetime in the excited state. Thus, by detecting differences in lifetimes, it is possible to distinguish dyes with overlapping fluorescent wavelengths or autofluorescence, which can be undistinguishable when using conventional fluorescence microscopy based on spectral characteristics. In addition, FLIM finds its most significant applications in visualizing the environmental changes of a probe in a living cell. Lifetime is independent of dye concentration, photobleaching, light scattering, and excitation light intensity, but the lifetime of a fluorophore can change with solvent change; therefore, fluorescence lifetime imaging enables accurate ion concentration measurement and FRET analysis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Parrilla E, Armengot M, Mata M, Sanchez-Vilchez JM, Cortijo J, Hueso JL, Riera J, Moratal D. Primary ciliary dyskinesia assessment by means of optical flow analysis of phase-contrast microscopy images. Comput Med Imaging Graph. 2014;38:163–70.
Kong L, Doona CJ, Setlow P, Li YQ. Monitoring rates and heterogeneity of high-pressure germination of bacillus spores by phase-contrast microscopy of individual spores. Appl Environ Microbiol. 2014;80:345–53.
Jaccard N, Griffin LD, Keser A, Macown RJ, Super A, Veraitch FS, Szita N. Automated method for the rapid and precise estimation of adherent cell culture characteristics from phase contrast microscopy images. Biotechnol Bioeng. 2014;111:504–17.
Thirusittampalam K, Hossain MJ, Ghita O, Whelan PF. A novel framework for cellular tracking and mitosis detection in dense phase contrast microscopy images. IEEE J Biomed Health Inform. 2013;17:642–53.
Steiger R, Bernet S, Ritsch-Marte M. Mapping of phase singularities with spiral phase contrast microscopy. Opt Express. 2013;21:16282–9.
Su H, Yin Z, Huh S, Kanade T. Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features. Med Image Anal. 2013;17:746–65.
Kong Z, Zhu X, Zhang S, Wu J, Luo Y. Phase contrast microscopy of living cells within the whole lens: spatial correlations and morphological dynamics. Mol Vis. 2012;18:2165–73.
Nejati Javaremi A, Unsworth CP, Graham ES. A cell derived active contour (CDAC) method for robust tracking in low frame rate, low contrast phase microscopy—an example: the human hNT astrocyte. PLoS One. 2013;8:e82883.
Rigaud S, Huang CH, Ahmed S, Lim JH, Racoceanu D. An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy. Conf Proc IEEE Eng Med Biol Soc. 2013;2013:3989–92.
Liu A, Hao T, Gao Z, Su Y, Yang Z. Nonnegative mixed-norm convex optimization for mitotic cell detection in phase contrast microscopy. Comput Math Methods Med. 2013;2013:176272.
Huh S, Kanade T. Apoptosis detection for non-adherent cells in time-lapse phase contrast microscopy. Med Image Comput Comput Assist Interv. 2013;16:59–66.
Hooley EN, Tilley AJ, White JM, Ghiggino KP, Bell TD. Energy transfer in PPV-based conjugated polymers: a defocused widefield fluorescence microscopy study. Phys Chem Chem Phys. 2014;16:7108–14.
Juneau PM, Garnier A, Duchesne C. Selection and tuning of a fast and simple phase-contrast microscopy image segmentation algorithm for measuring myoblast growth kinetics in an automated manner. Microsc Microanal. 2013;19:855–66.
Huh S, Su H, Chen M, Kanade T. Efficient phase contrast microscopy restoration applied for muscle myotube detection. Med Image Comput Comput Assist Interv. 2013;16:420–7.
Kim J, An S, Ahn S, Kim B. Depth-variant deconvolution of 3D widefield fluorescence microscopy using the penalized maximum likelihood estimation method. Opt Express. 2013;21:27668–81.
Yin Z, Kanade T, Chen M. Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation. Med Image Anal. 2012;16:1047–62.
Piper T, Piper J. Axial phase-darkfield-contrast (APDC), a new technique for variable optical contrasting in light microscopy. J Microsc. 2012;247:259–68.
Chatterjee S, Pavan Kumar Y. White light differential interference contrast microscope with a Sagnac interferometer. Appl Optics. 2014;53:296–300.
Chen J, Xu Y, Lv X, Lai X, Zeng S. Super-resolution differential interference contrast microscopy by structured illumination. Opt Express. 2013;21:112–21.
Chen J, Lv X, Zeng S. Doubling the resolution of spatial-light-modulator-based differential interference contrast microscopy by structured illumination. Opt Lett. 2013;38:3219–22.
Battle C, Lautscham L, Schmidt CF. Differential interference contrast microscopy using light-emitting diode illumination in conjunction with dual optical traps. Rev Sci Instrum. 2013;84:053703.
Kim M, Choi Y, Fang-Yen C, Sung Y, Kim K, Dasari RR, Feld MS, Choi W. Three-dimensional differential interference contrast microscopy using synthetic aperture imaging. J Biomed Opt. 2012;17:026003.
Luo Y, Sun W, Gu Y, Wang G, Fang N. Wavelength-dependent differential interference contrast microscopy: multiplexing detection using nonfluorescent nanoparticles. Anal Chem. 2010;82:6675–9.
Zhu Y, Shaked NT, Satterwhite LL, Wax A. Spectral-domain differential interference contrast microscopy. Opt Lett. 2011;36:430–2.
McIntyre TJ, Maurer C, Bernet S, Ritsch-Marte M. Differential interference contrast imaging using a spatial light modulator. Opt Lett. 2009;34:2988–90.
Yang X, Qin L, Liang W, Wang W, Tan J, Liang P, Xu J, Li S, Cui S. New bone formation and microstructure assessed by combination of confocal laser scanning microscopy and differential interference contrast microscopy. Calcif Tissue Int. 2014;94:338–47.
Oh J, Kim SH, Kim YJ, Lee H, Cho JH, Cho YH, Kim CK, Lee TJ, Lee S, Park KH, Yu HG, Lee HJ, Jun SC, Kim JH. Detection of retinitis pigmentosa by differential interference contrast microscopy. PLoS One. 2014;9:e97170.
McPhee CI, Zoriniants G, Langbein W, Borri P. Measuring the lamellarity of giant lipid vesicles with differential interference contrast microscopy. Biophys J. 2013;105:1414–20.
Baker-Groberg SM, Phillips KG, McCarty OJ. Quantification of volume, mass, and density of thrombus formation using brightfield and differential interference contrast microscopy. J Biomed Opt. 2013;18:16014.
Tsunoda M, Isailovic D, Yeung ES. Real-time three-dimensional imaging of cell division by differential interference contrast microscopy. J Microsc. 2008;232:207–11.
Yenjerla M, Lopus M, Wilson L. Analysis of dynamic instability of steady-state microtubules in vitro by video-enhanced differential interference contrast microscopy with an appendix by Emin Oroudjev. Methods Cell Biol. 2010;95:189–206.
Wolf DE. Fundamentals of fluorescence and fluorescence microscopy. Methods Cell Biol. 2013;114:69–97.
Webb DJ, Brown CM. Epi-fluorescence microscopy. Methods Mol Biol. 2013;931:29–59.
Renz M. Fluorescence microscopy-a historical and technical perspective. Cytometry A. 2013;83:767–79.
Basic Concepts in Fluorescence. http://micro.magnet.fsu.edu/primer/techniques/fluorescence/fluorescenceintro.html
Fritzky L, Lagunoff D. Advanced methods in fluorescence microscopy. Anal Cell Pathol. 2013;36:5–17.
Luo W, He K, Xia T, Fang X. Single-molecule monitoring in living cells by use of fluorescence microscopy. Anal Bioanal Chem. 2013;405:43–9.
Tahir M, Khan A, Kaya H. Protein subcellular localization in human and hamster cell lines: employing local ternary patterns of fluorescence microscopy images. J Theor Biol. 2014;340:85–95.
Duheron V, Moreau M, Collin B, Sali W, Bernhard C, Goze C, Gautier T, Pais de Barros JP, Deckert V, Brunotte F, Lagrost L, Denat F. Dual labeling of lipopolysaccharides for SPECT-CT imaging and fluorescence microscopy. ACS Chem Biol. 2014;9:656–62.
Ujihara Y, Nakamura M, Miyazaki H, Wada S. Segmentation and morphometric analysis of cells from fluorescence microscopy images of cytoskeletons. Comput Math Methods Med. 2013;2013:381356.
Tapley A, Switz N, Reber C, Davis JL, Miller C, Matovu JB, Worodria W, Huang L, Fletcher DA, Cattamanchi A. Mobile digital fluorescence microscopy for diagnosis of tuberculosis. J Clin Microbiol. 2013;51:1774–8.
Scholz D, Fortsch J, Bockler S, Klecker T, Westermann B. Analyzing membrane dynamics with live cell fluorescence microscopy with a focus on yeast mitochondria. Methods Mol Biol. 2013;1033:275–83.
Yan Y, Petchprayoon C, Mao S, Marriott G. Reversible optical control of cyanine fluorescence in fixed and living cells: optical lock-in detection immunofluorescence imaging microscopy. Philos Trans R Soc Lond B Biol Sci. 2013;368:20120031.
Furia L, Pelicci PG, Faretta M. A computational platform for robotized fluorescence microscopy (I): high-content image-based cell-cycle analysis. Cytometry A. 2013;83:333–43.
Furia L, Pelicci PG, Faretta M. A computational platform for robotized fluorescence microscopy (II): DNA damage, replication, checkpoint activation, and cell cycle progression by high-content high-resolution multiparameter image-cytometry. Cytometry A. 2013;83:344–55.
Laser Scanning Confocal Microscopy. http://micro.magnet.fsu.edu/primer/techniques/confocal/index.html
Ragazzi M, Piana S, Longo C, Castagnetti F, Foroni M, Ferrari G, Gardini G, Pellacani G. Fluorescence confocal microscopy for pathologists. Mod Pathol. 2014;27:460–71.
Herberich G, Windoffer R, Leube RE, Aach T. Signal and noise modeling in confocal laser scanning fluorescence microscopy. Med Image Comput Comput Assist Interv. 2012;15:381–8.
Wu Y, Zinchuk V, Grossenbacher-Zinchuk O, Stefani E. Critical evaluation of quantitative colocalization analysis in confocal fluorescence microscopy. Interdiscip Sci. 2012;4:27–37.
Balestrieri ML, Giovane A, Milone L, Servillo L. Endothelial progenitor cells express PAF receptor and respond to PAF via Ca(2+)-dependent signaling. Biochim Biophys Acta. 2010;1801:1123–32.
Coxon FP. Fluorescence imaging of osteoclasts using confocal microscopy. Methods Mol Biol. 2012;816:401–24.
Kress A, Wang X, Ranchon H, Savatier J, Rigneault H, Ferrand P, Brasselet S. Mapping the local organization of cell membranes using excitation-polarization-resolved confocal fluorescence microscopy. Biophys J. 2013;105:127–36.
Feola A, Cimini A, Migliucci F, Iorio R, Zuchegna C, Rothenberger R, Cito L, Porcellini A, Unteregger G, Tombolini V, Giordano A, Di Domenico M. The inhibition of p85alphaPI3KSer83 phosphorylation prevents cell proliferation and invasion in prostate cancer cells. J Cell Biochem. 2013;114:2114–9.
Cosentino C, Di Domenico M, Porcellini A, Cuozzo C, De Gregorio G, Santillo MR, Agnese S, Di Stasio R, Feliciello A, Migliaccio A, Avvedimento EV. p85 regulatory subunit of PI3K mediates cAMP-PKA and estrogens biological effects on growth and survival. Oncogene. 2007;26:2095–103.
Longo C, Rajadhyaksha M, Ragazzi M, Nehal K, Gardini S, Moscarella E, Lallas A, Zalaudek I, Piana S, Argenziano G, Pellacani G. Evaluating ex vivo fluorescence confocal microscopy images of basal cell carcinomas in Mohs excised tissue. Br J Dermatol. 2014;171(3):561–70.
Dobbs JL, Ding H, Benveniste AP, Kuerer HM, Krishnamurthy S, Yang W, Richards-Kortum R. Feasibility of confocal fluorescence microscopy for real-time evaluation of neoplasia in fresh human breast tissue. J Biomed Opt. 2013;18:106016.
Bennassar A, Carrera C, Puig S, Vilalta A, Malvehy J. Fast evaluation of 69 basal cell carcinomas with ex vivo fluorescence confocal microscopy: criteria description, histopathological correlation, and interobserver agreement. JAMA Dermatol. 2013;149:839–47.
De Gregorio G, Coppa A, Cosentino C, et al. The p85 regulatory subunit of PI3K mediates TSHcAMP-PKA growth and survival signals. Oncogene. 2007;26:2039–47.
Altomare DA, Testa JR. Perturbations of the AKT signaling pathway in human cancer. Oncogene. 2005;24:7455–64.
Vega FM, Fruhwirth G, Ng T, Ridley AJ. RhoA and RhoC have distinct roles in migration and invasion by acting through different targets. J Cell Biol. 2011;193:655–64.
Total Internal Reflection Fluorescence Microscopy. http://micro.magnet.fsu.edu/primer/techniques/fluorescence/tirf/tirfhome.html
Brunstein M, Teremetz M, Herault K, Tourain C, Oheim M. Eliminating unwanted far-field excitation in objective-type TIRF. Part I. Identifying sources of nonevanescent excitation light. Biophys J. 2014;106:1020–32.
Brunstein M, Herault K, Oheim M. Eliminating unwanted far-field excitation in objective-type TIRF. Part II. Combined evanescent-wave excitation and supercritical-angle fluorescence detection improves optical sectioning. Biophys J. 2014;106:1044–56.
Lane RS, Macpherson AN, Magennis SW. Signal enhancement in multiphoton TIRF microscopy by shaping of broadband femtosecond pulses. Opt Express. 2012;20:25948–59.
Johnson DS, Jaiswal JK, Simon S. Total internal reflection fluorescence (TIRF) microscopy illuminator for improved imaging of cell surface events. Curr Protoc Cytom. 2012;Chapter 12, Unit 12 29.
Liang L, Shen H, De Camilli P, Toomre DK, Duncan JS. An expectation maximization based method for subcellular particle tracking using multi-angle TIRF microscopy. Med Image Comput Comput Assist Interv. 2011;14:629–36.
Oheim M. Quantitative imaging of single-organelle and single-molecule dynamics near the plasma membrane using a combination of spinning TIRF and virtual supercritical-angle detection. Biomed Tech. 2012. doi:10.1515/bmt-2012-4565.
Charlton C, Gubala V, Gandhiraman RP, Wiechecki J, Le NC, Coyle C, Daniels S, Maccraith BD, Williams DE. TIRF microscopy as a screening method for non-specific binding on surfaces. J Colloid Interface Sci. 2011;354:405–9.
Parhamifar L, Moghimi SM. Total internal reflection fluorescence (TIRF) microscopy for real-time imaging of nanoparticle-cell plasma membrane interaction. Methods Mol Biol. 2012;906:473–82.
Loder MK, Tsuboi T, Rutter GA. Live-cell imaging of vesicle trafficking and divalent metal ions by total internal reflection fluorescence (TIRF) microscopy. Methods Mol Biol. 2013;950:13–26.
Leslie K, Galjart N. Going solo: measuring the motions of microtubules with an in vitro assay for TIRF microscopy. Methods Cell Biol. 2013;115:109–24.
Telley IA, Bieling P, Surrey T. Reconstitution and quantification of dynamic microtubule end tracking in vitro using TIRF microscopy. Methods Mol Biol. 2011;777:127–45.
Ross JA, Digman MA, Wang L, Gratton E, Albanesi JP, Jameson DM. Oligomerization state of dynamin 2 in cell membranes using TIRF and number and brightness analysis. Biophys J. 2011;100:L15–7.
Matz M, Schumacher K, Hatlapatka K, Lorenz D, Baumann K, Rustenbeck I. Observer-independent quantification of insulin granule exocytosis and pre-exocytotic mobility by TIRF microscopy. Microsc Microanal. 2014;20:206–18.
Akopova I, Tatur S, Grygorczyk M, Luchowski R, Gryczynski I, Gryczynski Z, Borejdo J, Grygorczyk R. Imaging exocytosis of ATP-containing vesicles with TIRF microscopy in lung epithelial A549 cells. Purinergic Signal. 2012;8:59–70.
Sidaway P, Teramoto N. L-type Ca2+ channel sparklets revealed by TIRF microscopy in mouse urinary bladder smooth muscle. PLoS One. 2014;9:e93803.
Ramachandran S, Arce FT, Patel NR, Quist AP, Cohen DA, Lal R. Structure and permeability of ion-channels by integrated AFM and waveguide TIRF microscopy. Sci Rep. 2014;4:4424.
Pietraszewska-Bogiel A, Gadella TW. FRET microscopy: from principle to routine technology in cell biology. J Microsc. 2011;241:111–8.
Sun Y, Wallrabe H, Seo SA, Periasamy A. FRET microscopy in 2010: the legacy of Theodor Forster on the 100th anniversary of his birth. Chemphyschem. 2011;12:462–74.
Giron MD, Salto R. From green to blue: site-directed mutagenesis of the green fluorescent protein to teach protein structure-function relationships. Biochem Mol Biol Educ. 2011;39:309–15.
Hoppe AD, Scott BL, Welliver TP, Straight SW, Swanson JA. N-way FRET microscopy of multiple protein-protein interactions in live cells. PLoS One. 2013;8:e64760.
Kruger AC, Birkedal V. Single molecule FRET data analysis procedures for FRET efficiency determination: probing the conformations of nucleic acid structures. Methods. 2013;64:36–42.
Simkova E, Stanek D. Probing nucleic acid interactions and Pre-mRNA splicing by Forster resonance energy transfer (FRET) microscopy. Int J Mol Sci. 2012;13:14929–45.
Renciuk D, Zhou J, Beaurepaire L, Guedin A, Bourdoncle A, Mergny JL. A FRET-based screening assay for nucleic acid ligands. Methods. 2012;57:122–8.
Guo Q, He Y, Lu HP. Manipulating and probing enzymatic conformational fluctuations and enzyme-substrate interactions by single-molecule FRET-magnetic tweezers microscopy. Phys Chem Chem Phys. 2014;16(26):13052–8.
Canclini L, Wallrabe H, Di Paolo A, Kun A, Calliari A, Sotelo-Silveira JR, Sotelo JR. Association of Myosin Va and Schwann cells-derived RNA in mammal myelinated axons, analyzed by immunocytochemistry and confocal FRET microscopy. Methods. 2014;66:153–61.
Ziomkiewicz I, Loman A, Klement R, Fritsch C, Klymchenko AS, Bunt G, Jovin TM, Arndt-Jovin DJ. Dynamic conformational transitions of the EGF receptor in living mammalian cells determined by FRET and fluorescence lifetime imaging microscopy. Cytometry A. 2013;83:794–805.
Wallrabe H, Cai Y, Sun Y, Periasamy A, Luzes R, Fang X, Kan HM, Cameron LC, Schafer DA, Bloom GS. IQGAP1 interactome analysis by in vitro reconstitution and live cell 3-color FRET microscopy. Cytoskeleton. 2013;70:819–36.
Prasad S, Zeug A, Ponimaskin E. Analysis of receptor-receptor interaction by combined application of FRET and microscopy. Methods Cell Biol. 2013;117:243–65.
Grecco HE, Bastiaens PI. Quantifying cellular dynamics by fluorescence resonance energy transfer (FRET) microscopy. Curr Protoc Neurosci. 2013;Chapter 5, Unit 5 22.
Sprenger JU, Perera RK, Gotz KR, Nikolaev VO. FRET microscopy for real-time monitoring of signaling events in live cells using unimolecular biosensors. J Vis Exp. 2012;e4081.
Roberts SK, Tynan CJ, Winn M, Martin-Fernandez ML. Investigating extracellular in situ EGFR structure and conformational changes using FRET microscopy. Biochem Soc Trans. 2012;40:189–94.
Padilla-Parra S, Tramier M. FRET microscopy in the living cell: different approaches, strengths and weaknesses. Bioessays. 2012;34:369–76.
Ferrari ML, Gomez GA, Maccioni HJ. Spatial organization and stoichiometry of N-terminal domain-mediated glycosyltransferase complexes in Golgi membranes determined by fret microscopy. Neurochem Res. 2012;37:1325–34.
Day RN, Davidson MW. Fluorescent proteins for FRET microscopy: monitoring protein interactions in living cells. Bioessays. 2012;34:341–50.
Goncalves JT, Stuhmer W. Calmodulin interaction with hEAG1 visualized by FRET microscopy. PLoS One. 2010;5:e10873.
Ishikawa-Ankerhold HC, Ankerhold R, Drummen GP. Advanced fluorescence microscopy techniques--FRAP, FLIP, FLAP, FRET and FLIM. Molecules. 2012;17:4047–132.
Yang J, Kohler K, Davis DM, Burroughs NJ. An improved strip FRAP method for estimating diffusion coefficients: correcting for the degree of photobleaching. J Microsc. 2010;238:240–53.
Kang M, Day CA, DiBenedetto E, Kenworthy AK. A quantitative approach to analyze binding diffusion kinetics by confocal FRAP. Biophys J. 2010;99:2737–47.
Kang M, Day CA, Kenworthy AK, DiBenedetto E. Simplified equation to extract diffusion coefficients from confocal FRAP data. Traffic. 2012;13:1589–600.
Xiong R, Deschout H, Demeester J, De Smedt SC, Braeckmans K. Rectangle FRAP for measuring diffusion with a laser scanning microscope. Methods Mol Biol. 2014;1076:433–41.
Wachsmuth M. Molecular diffusion and binding analyzed with FRAP. Protoplasma. 2014;251:373–82.
Deschout H, Raemdonck K, Demeester J, De Smedt SC, Braeckmans K. FRAP in pharmaceutical research: practical guidelines and applications in drug delivery. Pharm Res. 2014;31:255–70.
Groeneweg FL, van Royen ME, Fenz S, Keizer VI, Geverts B, Prins J, de Kloet ER, Houtsmuller AB, Schmidt TS, Schaaf MJ. Quantitation of glucocorticoid receptor DNA-binding dynamics by single-molecule microscopy and FRAP. PLoS One. 2014;9:e90532.
Watanabe N, Yamashiro S, Vavylonis D, Kiuchi T. Molecular viewing of actin polymerizing actions and beyond: combination analysis of single-molecule speckle microscopy with modeling, FRAP and s-FDAP (sequential fluorescence decay after photoactivation). Dev Growth Differ. 2013;55:508–14.
Schneider K, Fuchs C, Dobay A, Rottach A, Qin W, Wolf P, Alvarez-Castro JM, Nalaskowski MM, Kremmer E, Schmid V, Leonhardt H, Schermelleh L. Dissection of cell cycle-dependent dynamics of Dnmt1 by FRAP and diffusion-coupled modeling. Nucleic Acids Res. 2013;41:4860–76.
Bougault C, Cueru L, Bariller J, Malbouyres M, Paumier A, Aszodi A, Berthier Y, Mallein-Gerin F, Trunfio-Sfarghiu AM. Alteration of cartilage mechanical properties in absence of beta1 integrins revealed by rheometry and FRAP analyses. J Biomech. 2013;46:1633–40.
Hardy LR. Fluorescence recovery after photobleaching (FRAP) with a focus on F-actin. Curr Protoc Neurosci. 2012;Chapter 2, Unit 2 17.
Day CA, Kraft LJ, Kang M, Kenworthy AK. Analysis of protein and lipid dynamics using confocal fluorescence recovery after photobleaching (FRAP). Curr Protoc Cytom. 2012;Chapter 2, Unit 2 19.
Aguila B, Simaan M, Laporte SA. Study of G protein-coupled receptor/beta-arrestin interactions within endosomes using FRAP. Methods Mol Biol. 2011;756:371–80.
Bošković A, Eid A, Pontabry J, Ishiuchi T, Spiegelhalter C, Raghu Ram EV, Meshorer E, Torres-Padilla ME. Higher chromatin mobility supports totipotency and precedes pluripotency in vivo. Genes Dev. 2014;28(10):1042–7.
Bernas T, Brutkowski W, Zarębski M, Dobrucki J. Spatial heterogeneity of dynamics of H1 linker histone. Eur Biophys J. 2014;43:287–300.
Subota I, Julkowska D, Vincensini L, Reeg N, Buisson J, Blisnick T, Huet D, Perrot S, Santi-Rocca J, Duchateau M, Hourdel V, Rousselle JC, Cayet N, Namane A, Chamot-Rooke J, Bastin P. Proteomic analysis of intact flagella of procyclic Trypanosoma brucei cells identifies novel flagellar proteins with unique sub-localisation and dynamics. Mol Cell Proteomics. 2014;13(7):1769–86.
Pande P, Jo JA. Automated analysis of fluorescence lifetime imaging microscopy (FLIM) data based on the Laguerre deconvolution method. IEEE Trans BioMed Eng. 2011;58:172–81.
Chen Y, Saulnier JL, Yellen G, Sabatini BL. A PKA activity sensor for quantitative analysis of endogenous GPCR signaling via 2-photon FRET-FLIM imaging. Front Pharmacol. 2014;5:56.
Schmitt FJ, Thaa B, Junghans C, Vitali M, Veit M, Friedrich T. eGFP-pHsens as a highly sensitive fluorophore for cellular pH determination by fluorescence lifetime imaging microscopy (FLIM). Biochim Biophys Acta. 2014.
Paredes JM, Giron MD, Ruedas-Rama MJ, Orte A, Crovetto L, Talavera EM, Salto R, Alvarez-Pez JM. Real-time phosphate sensing in living cells using fluorescence lifetime imaging microscopy (FLIM). J Phys Chem B. 2013;117:8143–9.
Morton PE, Parsons M. Measuring FRET using time-resolved FLIM. Methods Mol Biol. 2011;769:403–13.
Oliveira AF, Yasuda R. An improved Ras sensor for highly sensitive and quantitative FRET-FLIM imaging. PloS one. 2013;8:e52874.
Schuermann KC, Grecco HE. flatFLIM: enhancing the dynamic range of frequency domain FLIM. Opt Express. 2012;20:20730–41.
Pepperkok R, Squire A, Geley S, Bastiaens PI. Simultaneous detection of multiple green fluorescent proteins in live cells by fluorescence lifetime imaging microscopy. Curr Biol. 1999;9:269–72.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media New York
About this chapter
Cite this chapter
Feola, A., Cito, L., Di Carlo, A., Giovane, A., Di Domenico, M. (2016). Microscopy Techniques. In: Sacerdoti, F., Giordano, A., Cavaliere, C. (eds) Advanced Imaging Techniques in Clinical Pathology. Current Clinical Pathology. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3469-0_4
Download citation
DOI: https://doi.org/10.1007/978-1-4939-3469-0_4
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-3467-6
Online ISBN: 978-1-4939-3469-0
eBook Packages: MedicineMedicine (R0)