. Vector Red staining was measured at its absorbance maximum at a wavelength of 525 ± 10 nm (Figure 1A) . Methyl green was found to be the best-fitting counterstain for Vector Red signal segmentation because of its absorbance maximum at 660 nm (Figure 1B) , which did not overlap with Vector Red. Mayer’s hematoxylin in contrast was slightly visible at 525 nm, because of its wide range of absorbance (Figure 1C) .
| Figure 1.Transmittance curves of Vector Red, methyl green, and Mayer’s hematoxylin. Note that the absorbance maxima of Vector Red and methyl green do not overlap. Central wavelength (CWL) was chosen in the absorbance maximum of Vector Red to be 525 nm (more ...) |
In fluorescence microscopy both Vector Red and Texas Red staining were detected at >615 nm. Segmentation was, however, limited by autofluorescence of the tissue, which may be rather strong in a variety of organs, eg, lung tissue because of the abundance of elastic fibers.
Standard Agarose Blocks
Embedding of agarose blocks in paraffin and lowering of the temperature were necessary for precise sectioning of the standard blocks. Accuracy of section thickness was assessed by measuring the extent of autofluorescence, to which it is tightly correlated. 41 In addition, to minimize the impact of section thickness on measurement accuracy at least three sections for each measurement were used. 42 The antibodies were found to be homogeneously distributed within the agar matrix (Figure 2) . Silver-enhancement of colloidal gold occurs by deposition of metallic silver, which clusters around colloidal gold particles and produces a grain-like appearance (Figure 2A) . Staining intensity, however, was determined by integration of staining intensity over a complete microscopic field of 36,503.62 μm2. Alkaline-phosphatase-related staining in contrast resulted in a homogeneous distribution with equal intensity over the complete field (Figure 2B , inverted image). | Figure 2.Artificial standard agarose blocks. A: Antibodies conjugated with ultra-small gold particles (concentration, 1:50; silver enhancement, 40 minutes; epipolarization image). B: Antibodies conjugated with alkaline phosphatase 1:125, Vector Red development (more ...) |
The linear range of both absorbance and fluorescence of Vector Red was assessed throughout a development period of 60 minutes (Figure 3) . Absorbance of Vector Red proved to be linear throughout the entire period, thus allowing quantitative evaluation at any staining time up to 60 minutes, which may be necessary when adjusting an immunohistochemical protocol for detection of an antigen. Fluorescence of the substrate Vector Red was detectable with a Texas Red filter, which displays a bright-red fluorescence signal at >615 nm. Fluorescence measurement of Vector Red signal resulted in a nonlinear curve with a linear range between 20 and 40 minutes.
| Figure 3.Comparison of the linearity range of Vector Red absorbance and fluorescence measurement. Absorbance measurement was linear throughout 60 minutes of substrate development, whereas fluorescence measurement was only linear within a short range of 20 to 40 (more ...) |
Absorbance measurement was linearly related to different antibody concentrations admixed to the agar blocks (Figure 4A) . There was also a good correlation between the thickness of sections and staining intensity, as determined by absorbance measurement (Figure 4B) . Linear correlation between section thickness or antibody concentration with staining intensity was also determined for Fast Red development. In epipolarization imaging of immunogold-silver stained sections of agarose blocks, a linear relationship between antibody concentration and staining intensity was similarly demonstrated (Figure 5) .
| Figure 4. Linearity of Vector Red absorbance in relation to antibody concentration (A) and section thickness (B). Thickness of section, 10 μm (A); antibody concentration, 1:500 (B). |
| Figure 5. Linearity of immunogold-silver epipolarization intensity in relation to antibody concentration; thickness of section, 10 μm. |
Stability of Staining
The stability of the staining intensity at light exposure was examined throughout a 1 hour period (Figure 6) and after 24 hours. A considerable bleaching of the staining was noted for the fluorescent dye Texas Red (Figure 6) , but was also detected to a minor extent with the alkaline phosphatase substrates Vector Red and Fast Red in fluorescence microscopy (Figure 6 , Table 1 ). Absorbance measurement of Vector Red and Fast Red staining revealed stable intensities throughout a 1 hour period, but no significant change was observed throughout an observation period of 24 hours. Similarly, absorbance and epipolarization of immunogold-silver staining was entirely stable, without showing any fading throughout 24 hours (Figure 6) . | Figure 6.Comparison of photostability of various dyes using different microscopic techniques (epipolarization, absorbance, and fluorescence). Immunogold-silver was measured with epipolarization and absorbance detection. Vector Red and Fast Red were measured using (more ...) |
Background
Development of alkaline phosphatase with Vector Red produces a bright-red precipitate, which is clearly detectable by absorbance with the described custom-designed filter. Nonspecific staining and background staining was low, both in paraffin-embedded tissue and cryosections. Staining was absent from sections where the primary antibody was omitted or nonspecific serum was applied. In contrast, fluorescence microscopy of Vector Red- and Texas Red-stained tissue is hampered by tissue-specific autofluorescence, which is extremely strong, eg, in lung tissue (Table 1) .Immunogold staining with subsequent silver enhancement showed excellent results in paraffin-embedded tissues. Positive-stained structures were unambiguously detectable and background staining was low. On use in cryosections, in contrast, immunogold-silver staining may exhibit nonspecific and background staining. For this reason, the segmentation of stained structures in epipolarization primarily depends on the antibody used. Application of epipolarization in pathological human tissue is limited by foreign bodies/material, eg, anthracotic pigment deposition in the lung, which shows epipolarization and may hinder segmentation and determination of positively stained structures (Table 1) .
Application
CD45 immunostaining was performed on differently embedded tissue and with different immunostaining protocols. Immunogold-silver staining (Figure 7, A–C) resulted in a strong and clear signal, which showed good contrast to the counterstain nuclear Fast Red in bright-field microscopy (Figure 1A) . Epipolarization created a complete segmentation between stained and unstained structures (Figure 7B) . Different staining intensities can be visualized using a pseudocolor depiction, which represents different gray-scale ranges (Figure 7C) . Vector Red staining gives best contrast with methyl green counterstaining (Figure 7D) , which is not visible using the custom-designed absorbance filter (Figure 7E) . | Figure 7.Anti-CD45 staining with different immunostaining techniques and microscopy techniques: immunogold-silver staining (A–C), alkaline phosphatase-based Vector Red staining (D–F) and Texas Red immunofluorescence (G–I). Immunogold-silver (more ...) |
Texas Red immunofluorescence gives sufficient staining results (Figure 7G) , which, however, can only be visualized using expensive fluorescence microscopy equipment. Intensity measurement has to be performed immediately to prevent photobleaching. Large measurement deviations can be minimized with an automated microscope equipped with a light shutter, but photobleaching is unavoided by this approach because structures have to be searched for extended time periods. Intensity measurement of CD45-stained alveolar macrophages showed minimal scattering with immunogold-silver epipolarization (SEM ± 7.9% of mean values) and Vector Red absorbance measurement (±8.9%). Fluorescence measurement using Texas Red and Vector Red resulted in higher variability (Vector Red, 15.3%; Texas Red, 13.3%), because of the influence of fading.
Discussion During the past few years, computer-assisted image analysis has been increasingly used for quantitative evaluation of histopathological and cytopathological features in the research areas and in diagnostic pathology. 1,3,40 The quantification of the final reaction product of immunohistochemistry has been addressed in numerous studies, and different staining techniques were evaluated with respect to standardization and linearity, prerequisites for obtaining reliable and reproducible quantitative results. 5,28,39 Such standardization also includes technical steps, therefore the influence of sectioning, antibody concentration, and staining time were evaluated in this study. To perform a comparison of different methods in quantitative microdensitometry, we created artificial test blocks by incorporation of antibodies labeled with either immunogold or alkaline phosphatase into agarose, and this standard specimen served for characterization of the immunogold-silver and Vector Red-staining intensity. There have been previous efforts to create artificial test standards for the characterization of reaction products, eg, the peroxidase substrate DAB, by incorporation of antigens or antibodies in agarose or gelatin media or coupling them with Sepharose beads. 32,34,43 Linearity between DAB absorbance and concentration or staining time and therefore suitability of DAB for densitometric quantitation was demonstrated in all studies. 32,34,43 DAB deposition can also be quantified using reflection contrast microscopy, 26,29 an epi-illumination technique that detects the reflected light from metal particles. 24 DAB is, however, a highly toxic substance and has thus to be handled with particular care and requires special disposal; it was therefore not considered to be appropriate for routine diagnostic immunostaining. Antibody-linked immunogold particles can be clearly visualized light microscopically after amplification by silver enhancement and use of epipolarization microscopy technique. 16,20,21,44 The combination of immunogold-silver staining and epipolarization microscopy is a highly sensitive method applicable for both immunohistochemistry and in situ hybridization, producing excellent segmentation of the bright-appearing immunopositive signal as shown in the current and previous studies. 22,23,45,46 Image analysis of our standard blocks, which resemble tissue samples with a defined concentration of label, demonstrated a linear relationship between epipolarization intensity and antibody concentration, as was anticipated from a on-slide enzyme-linked immunosorbent assay technique combined with epipolarization microscopy. 20 In addition, unrestricted light stability throughout time and a spatially precise signal with no out-of-focus signal recommends the immunogold-silver technique for quantitative studies with evaluation of staining intensity. Measurement of CD45 immunogold-staining intensity of the lung tissue with epipolarization technique showed the lowest scattering of data of all methods presently investigated. High sensitivity, excellent segmentation, sharp contrast in the bright-field in combination with nuclear counterstains like nuclear Fast Red or methyl green, and the possibility of permanent mounting and long-term storage are further advantages of this technique. However, in cryosections immunogold-silver staining produces more background than in paraffin sections, which limits the applicability for quantitative evaluation. Moreover, when assessing pathology samples, the frequent occurrence of foreign body material, such as anthracotic pigmentation in human lung tissue, represents a problem for the segmentation of the immunostaining signal even in epipolarization microscopy. An alternative for use in paraffin- and cryosections, with no limitations concerning the appearance of foreign body material, is the alkaline phosphatase-based immunostaining with development of different colored substrates. Quantitative evaluation of alkaline phosphatase-based immunohistochemistry has been reported in a limited number of studies, using the substrate Fast Red 29,37,38 and 5-bromo-4-chloro-3-indolyl phosphate/nitroblue tetrazolium. 36 Fast Red was recommended for use in double-labeling studies with fluorescence. 47-49 Vector Red displays nearly identical features as Fast Red, including bright red color in the bright-field and intense fluorescence detectable in rhodamine or Texas Red filter systems. In the present study, linearity of Vector Red absorbance and amount of incorporated enzyme, development time, or section thickness were shown, demonstrating suitability of this tool for quantitative assessment. Control of the section thickness was performed by measurement of fluorescein-isothiocyanate autofluorescence, as previously described. 41,50 Depending on the required accuracy of measurement a correction of section thickness may additionally be considered by applying a correction formula. 1 The section thickness may be measured either by autofluorescence intensity or immunohistochemical background staining. 1 Comparison between Vector Red absorbance and fluorescence detection revealed that the linear range for absorbance measurement comprised at least 60 minutes of development time, whereas fluorescence of Vector Red was only linear between 20 and 40 minutes of development time. Measurement of absorbance is thus less critical than fluorescence when the development time has to be adjusted for optimal immunohistochemistry. An important advantage of Vector Red is the absolute light stability in absorbance measurements. Both Vector Red and Fast Red show considerable photobleaching when exposed to mercury light in fluorescence microscopy (this study and Speel et al 48 ) which is, however, much lower and delayed compared to commonly used fluorescent labels like Texas Red, as demonstrated in the current study. Because of photobleaching, fluorescence measurements result in higher variability of data as compared to absorbance measurements. However, fluorescent measurements can be reliably performed when taking this fact into consideration, eg, by using an automated microscope with a light shutter to reduce the time of light exposure to a minimum. 51,52 Sections stained with common fluorescent markers or Fast Red have to be mounted in aqueous mounting medium for fluorescence microscopy, which hinders storage and long-term stability. Vector Red-stained specimens, in contrast, can be permanently mounted with coverslips and be conserved for months or years without loss of staining intensity. Good results were obtained in the present study with the water-soluble mounting medium Crystalmount, eg, for mounting of Fast Red-stained specimens, which hardens like any other permanent mounting medium and provides good optical quality when covered with immersion oil. The counterstaining of Vector Red staining has to be selected carefully if the slides are to be observed in the bright-field and fluorescence microscopy, because common nuclear stains used in bright-field microscopy show intense fluorescence. In fluorescence microscopy of Vector Red-stained structures, counterstaining with methyl green was found to be inappropriate, because of the extremely strong fluorescence of methyl green throughout almost the entire fluorescent spectrum. Mayer’s hematoxylin, in contrast, was suitable for use in bright-field and fluorescence microscopy because segmentation of the immunostaining was possible. In contrast to Mayer’s hematoxylin, other commonly used hematoxylin counterstains again display intense fluorescence. As expected, DAPI is suitable for counterstaining in fluorescence microscopy, but is unfortunately not useful for bright-field microscopy. For quantitative evaluation with absorbance measurement, we found methyl green to be the ideal counterstain, because transmission spectra of Vector Red and methyl green do not overlap and are thus easy to separate with appropriate filters. For Fast Red staining, with either bright-field or fluorescence microscopy, the choice of counterstain is limited to water-soluble dyes, and thus Mayer’s hematoxylin is a suitable nuclear stain for this purpose. Additional problems in using fluorescence microscopy for quantitative evaluation of staining intensity may arise from tissue-specific autofluorescence and out-of-focus fluorescence, which both influence accuracy of measurements. Autofluorescence is particularly disturbing in lung tissue, because of the high content of elastic fibers within the alveolar septum and in pulmonary vessels, which may hinder segmentation of the fluorescence signal. When measuring epipolarization signals of immunogold-silver deposits an interference by background signals with the immunopositive signal does not occur because silver-based immunohistochemistry is not influenced by the presence of endogenous enzymatic activity and thus exact segmentation of the signal is possible. 53 It is important to mention that the described methods of quantification do not yield absolute quantitative data, but show relative changes of protein expression in different samples. Prerequisite for obtaining reliable and reproducible results are equal conditions of tissue processing, which requires standardization and calibration of each step of tissue processing. This includes parameters such as period of time until fixation starts, type of fixative and length of fixation, size of tissue samples, storage conditions, and parameters of tissue embedding. For each different antigen, which is to be localized and measured, the individual staining conditions again have to be optimized. Variations between antigens such as the amount of antigen, stability, or metabolic break down determine which technique of tissue processing may be used: paraffin-embedded tissue versus frozen tissue, necessity of antigen retrieval, or variable staining conditions (ie, type and concentration of antibodies, incubation periods). In experimental applications the conditions of tissue processing can more easily be held equal than in clinical applications. If certain parameters of processing clinical tissue samples cannot be fully standardized, at least the influence of these parameters on the immunostaining should be analyzed. The grade of standardization influences the accuracy of the quantitation method, which means that low standardization results in high variability of measurement and thus differences between groups have to be high to be detected. The grade of standardization, which is required for accurate measurement, in the last instance depends on the individual antigen, its expression, stability, and the differences of variation expected to be measured in different tissue samples. If sufficient standardization, calibration, and proper controls for quantitation are ensured, quantitative microscopy can be a helpful tool in experimental and diagnostic pathology. 1,39,40 In conclusion, microdensitometry of Vector Red absorbance is a suitable method for quantification of staining intensity and meets current requirements for a stable, reproducible, and economical technique to be applied in diagnostic pathology. Applicability in paraffin-embedded tissue as well as in cryosections, excellent segmentation, linearity over a wide range, light stability, and feasibility for permanent mounting and for long-term storage are the outstanding features of this approach. Absorbance measurement does not require expensive equipment and can be performed with a common light microscope, an appropriate absorbance filter, and a stabilized transformer for steady illumination. In comparison with other staining and measurement techniques reported in the literature and those presently investigated in parallel, we consider microdensitometry of Vector Red absorbance as being the most suitable approach for standardized quantitative evaluation. |
Acknowledgments We thank G. Müller for excellent technical assistance; and Dr. R. L. Snipes, Department of Anatomy, Giessen, for linguistically reviewing the manuscript. |
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References 1. Fritz P, Wu X, Tuczek H, Multhaupt H, Schwarzmann P: Quantitation in immunohistochemistry. A research method or a diagnostic tool in surgical pathology? Pathologica 1995, 87:300-309 [PubMed]. 2. Mariuzzi GM, Collan YUI: Some reflections on the history, and presence of quantitative pathology. Pathologica 1995, 87:215-220 [PubMed]. 3. Hall TL, Fu YS: Biology of disease. Applications of quantitative microscopy in tumor pathology. Lab Invest 1985, 53:5-21 [PubMed]. 4. Stoward PJ, Nakae Y, Van Noorden CJF: The everchanging advances in enzyme histochemistry, 1986–1996. Eur J Histochem 1998, 42:35-40 [PubMed]. 5. Van Noorden CJF, Jonges GN: Analysis of enzyme reactions in situ. Histochem J 1995, 27:101-118 [PubMed]. 6. Mariuzzi GM, Tosi P: Quantitative microscopy today. Appl Pathol 1986, 4:5-8 [PubMed]. 7. Fritz P, Tuczek HV, Böffinger B, Schwarzmann P, Schieszl S, Wu X, Kleine B, Blödorn J, Multhaupt H: Immunohistochemical quantification of steroid receptors and other prognosis factors in human breast cancer patients. Prog Histochem Cytochem 1992, 26:146-158 [PubMed]. 8. Bacus SS, Goldschmidt R, Chin D, Moran D, Weinberg D, Bacus JW: Biological grading of breast cancer using antibodies to proliferating cells and other markers. Am J Pathol 1989, 135:783-792 [PubMed]. 9. Bacus S, Flowers JL, Press MF, Bacus JW, McCarty KS: The evaluation of estrogen receptor in primary breast carcinoma by computer-assisted image analysis. Am J Clin Pathol 1988, 90:233-239 [PubMed]. 10. Zhou R, Hammond EH, Sause WT, Rubin P, Emami B, Pilepich MV, Asbell SD, Parker DL: Quantitation of prostate-specific acid phosphatase in prostate cancer: reproducibility and correlation with subjective grade. Mod Pathol 1994, 7:440-448 [PubMed]. 11. Pauletti G, Godolphin W, Press MF, Slamon DS: Detection and quantitation of HER-2/neu gene amplification in human breast cancer archival material using fluorescence in situ hybridization. Oncogene 1996, 13:53-72. 12. Ross JS, Fletcher JA: HER-2/neu (c-erb-B2) gene and protein in breast cancer. Am J Clin Pathol 1999, 112:S53-S67 [PubMed]. 13. Pandha HS, Martin LA, Rigg A, Hurst HC, Stamp GWH, Sikora K, Lemoine NR: Genetic prodrug activation therapy for breast cancer: a phase I clinical trial of erbB-2-directed suicide gene expression. J Clin Oncol 1999, 17:2180-2189 [PubMed]. 14. Haaijman JJ: Immunofluorescence: quantitative considerations. Acta Histochem 1988, 35:S77-S83. 15. Polak JM, VanNoorden S (Eds): Immunocytochemistry. Modern Methods and Applications. Bristol, John Wright and Sons Ltd., 1986. 16. Pluta M (Ed): Advanced Light Microscopy. Measuring Techniques. Amsterdam, Elsevier Science Publishers B. V., 1993. 17. Hansen GH, Wetterberg LL, Sjöström H, Noren O: Immunogold labelling is a quantitative method as demonstrated by studies on aminopeptidase N in microvillar membrane vesicles. Histochem J 1992, 24:132-136 [PubMed]. 18. Slater M, Mason RS: The determination of comparable labeling densities in quantitative immunoelectron microscopic double labeling studies. Biotech Histochem 1994, 69:127-135 [PubMed]. 19. Lucocq J: Quantitation of gold labelling and antigens in immunolabelled ultrathin sections. J Anat 1994, 184:1-13 [PubMed]. 20. Gao K, Morris RE, Wie C: Epipolarization microscopic immunogold assay: a combination of immunogold silver staining, enzyme-linked-immunosorbent assay and epipolarization microscopy. Biotech Histochem 1995, 70:211-216 [PubMed]. 21. Gao K, Cardell EL: Pseudocolor image processing of PEPCK subcellular distribution in rat hepatocytes shown with IGSS and epipolarization microscopy. J Histochem Cytochem 1994, 42:1651-1653 [PubMed]. 22. Ermert L, Ermert M, Goppelt-Struebe M, Walmrath D, Grimminger F, Steudel W, Ghofrani HA, Homberger C, Duncker HR, Seeger W: Cyclooxygenase isoenzyme localization and mRNA expression in rat lungs. Am J Respir Cell Mol Biol 1998, 18:479-488 [PubMed]. 23. Ermert L, Ermert M, Goppelt-Struebe M, Merkle M, Duncker HR, Grimminger F, Seeger W: Rat pulmonary cyclooxygenase-2 expression in response to endotoxin challenge: differential regulation in the various types of cells in the lung. Am J Pathol 2000, 156:1275-1287 [PubMed]. 24. Landegent JE, Jansen indeWal N, Ploem JS, van der Ploeg M: Sensitive detection of hybridocytochemical results by means of reflection-contrast microscopy. J Histochem Cytochem 1985, 33:1241-1246 [PubMed]. 25. Cornelese-ten Velde I, Wiegant J, Tanke HJ, Ploem JS: Improved detection and quantification of the (immuno) peroxidase product using reflection contrast microscopy. Histochemistry 1989, 92:153-160 [PubMed]. 26. Cornelese-ten Velde I, Bonnet J, Tanke HJ, Ploem JS: Reflection contrast microscopy. Visualization of (peroxidase-generated) diaminobenzidine polymer products and its underlying optical phenomena. Histochemistry 1988, 89:141-150 [PubMed]. 27. Prins FA, vanDeimen-Steenvoorde R, Bonnet J, Cornelese-ten Velde I: Reflection contrast microscopy of ultrathin sections in immunocytochemical localization studies: a versatile technique bridging electron microscopy with light microscopy. Histochemistry 1993, 99:417-425 [PubMed]. 28. Chieco P, Jonker A, Melchiorri C, Vanni G, vanNoorden CJF: A user’s guide for avoiding errors in absorbance image cytometry: a review with original experimental observations. Histochem J 1994, 26:1-19 [PubMed]. 29. Zhou R, Hammond EH, Parker DL: A multiple wavelength algorithm in color image analysis and its applications in stain decomposition in microscopy images. Med Phys 1996, 23:1977-1986 [PubMed]. 30. Zhou R, Hammond EH, Parker DL: Quantitative peroxidase-antiperoxidase complex-substrate mass determination in tissue sections by a dual wavelength method. Anal Quant Cytol Histol 1992, 14:73-80 [PubMed]. 31. Rahier J, Stevens M, DeMenten Y, Henquin JC: Determination of antigen concentration in tissue section by immunodensitometry. Lab Invest 1989, 61:357-363 [PubMed]. 32. Pool CW, Madlener S, Diegenbach PC, Sluiter AA, van der Sluis P: Quantification of antiserum reactivity in immunocytochemistry. J Histochem Cytochem 1984, 32:921-928 [PubMed]. 33. Nibbering PH, Leijh PCJ, vanFurth R: A cytophotometric method to quantitate the binding of monoclonal antibodies to individual cells. J Histochem Cytochem 1985, 33:453-459 [PubMed]. 34. Streefkerk JG, vanderPloeg M, vanDuijn P: Agarose beads as matrices for proteins in cytophotometric investigations of immunohistoperoxidase procedures. J Histochem Cytochem 1975, 23:243-250 [PubMed]. 35. Mize RR, Holdefer RN, Nabors LB: Quantitative immunocytochemistry using an image analyzer. I. Hardware evaluation, image processing, and data analysis. J Neurosci Methods 1988, 26:1-24 [PubMed]. 36. Nibbering PH, Marijnen JGJ, Raap AK, Leijh PCJ, vanFurth R: Quantitative study of enzyme immunocytochemical reactions performed with enzyme conjugates immobilized on nitrocellulose. Histochemistry 1986, 84:538-543 [PubMed]. 37. van der Loos CM, Marijianowski MMH, Becker AE: Quantification in immunohistochemistry: the measurement of the rations of collagen types I and II. Histochem J 1994, 26:347-354 [PubMed]. 38. van Duijn P, Pascoe E, vanderPloeg M: Theoretical and experimental aspects of enzyme determination in a cytochemical model system of polyacrylamide films containing alkaline phosphatase. J Histochem Cytochem 1967, 15:631-645 [PubMed]. 39. Fritz P, Hönes J, Lutz D, Multhaupt H, Mischlinski A, Dörrer A, Schwarzmann P, Tuczek HV, Müller W: Quantitative immunohistochemistry: standardization and possible application in research and surgical pathology. Acta Histochem 1989, 37:S213-S219. 40. Becker RL: Standardization and quality control of quantitative microscopy in pathology. J Cell Biol 1993, 17:199-204. 41. van de Lest CHA, Versteeg EMM, Veerkamp JH, van Kuppevelt TH: Elimination of autofluorescence in immunofluorescence microscopy with digital image processing. J Histochem Cytochem 1995, 43:727-730 [PubMed]. 42. Geerts A, Roels F: Quantitation of catalase activity by microspectrophotometry after diaminobenzidine staining. Histochemistry 1981, 72:357-367 [PubMed]. 43. Nabors LB, Songu-Mize E, Mize RR: Quantitative immunocytochemistry using an image analyzer. II. Concentration standards for transmitter immunocytochemistry. J Neurosci Methods 1988, 26:25-34 [PubMed]. 44. de Waele M, Renmans W, Segers S, Jochmans K, van Camp B: Sensitive detection of immunogold-silver staining with darkfield and epi-polarization microscopy. J Histochem Cytochem 1988, 36:679-683 [PubMed]. 45. Gao K, Morris RE, Giffin BF, Cardell RR: Immunogold-silver staining and epipolarized light microscopic detection of phosphoenolpyruvate carboxykinase and glycogen phosphorylase in rat liver. Histochemistry 1993, 99:341-346 [PubMed]. 46. Shires M, Goode NP, Crellin DM, Davison AM: Immunogold-silver staining of mesangial antigen in Lowicryl K4M- and LR Gold-embedded renal tissue using epipolarization microscopy. J Histochem Cytochem 1990, 38:287-289 [PubMed]. 47. Murdoch A, Jenkinson EJ, Johnson GD, Owen JJT: Alkaline phosphatase-Fast Red, a new fluorescent label. Application in double labelling for cell surface antigen and cell cycle analysis. J Immunol Methods 1990, 132:45-49 [PubMed]. 48. Speel EJM, Schutte B, Wiegant J, Ramaekers FCS, Hopman AHN: A novel fluorescence detection method for in situ hybridization, based on the alkaline phosphatase-Fast Red reaction. J Histochem Cytochem 1992, 40:1299-1308 [PubMed]. 49. van der Loos CM, Becker AE: Double epi-illumination microscopy with separate visualization of two antigens: a combination of epipolarization for immunogold-silver staining and epi-fluorescence for alkaline phosphatase staining. J Histochem Cytochem 1994, 42:289-295 [PubMed]. 50. Brismar H, Patwardhan A, Jaremko G, Nyengaard J: Thickness estimation of fluorescent sections using a CSLM. J Microsc 1996, 184:106-116. 51. Pluta M (Ed): Advanced Light Microscopy. Specialized Method. Amsterdam, Elsevier Science Publishers B. V., 1989. 52. DiGuiseppi J, Inman R, Ishihara A, Jacobson K, Herman B: Applications of digitized fluorescence microscopy to problems in cell biology. BioTechniques 1985, 3:394-403. 53. Scopsi L: Silver-Enhanced Colloidal Gold Method. 1989:pp 252-288 Academic Press Inc., Edited by MA Hayat. San Diego . |
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