A standard for calibration and shading correction of a fluorescence microscope.

BACKGROUND Numerous applications of fluorescence microscopy require quantitation of signal intensity in reproducible units. Two problems must be overcome to achieve this goal. First, due to various instrumental factors, the same sample imaged on two microscopes or even on the same microscope at different times may produce highly divergent readings. Second, because of shading, some areas within the same field may appear brighter than others despite the same amount of fluorophore. The first type of variability requires calibration using a sample of reproducible fluorescence yield; to correct for shading, a uniform fluorescent field is needed. METHODS Standard slides were prepared by placing several microliters of 10%-50% w/v fluorescein or rhodamine between a coverglass and a slide. They were used to perform shading correction and normalization under a variety of imaging conditions. RESULTS Concentrated fluorophores produced a uniform fluorescent field of moderate and reproducible brightness. By expressing the staining of a biological object in the units of standard slides, identical results were obtained irrespective of the imaging conditions or the microscope used. We compared shading correction based on concentrated fluorescein with two other standards. Concentrated fluorescein resulted in the best equalization of the field. CONCLUSIONS Standardization of fluorescent images can be achieved by normalizing them to the image of a concentrated solution of a fluorophore. Due to its simplicity and efficiency, this method can be used in clinical analysis as well as in routine laboratory practice.

[1]  J. P. van Dalen,et al.  Quantification in immunofluorescence microscopy. A new standard for fluorescein and rhodamine emission measurement. , 1974, Journal of immunological methods.

[2]  D. Taylor,et al.  Imaging cytometry by multiparameter fluorescence. , 1991, Cytometry.

[3]  G. Steiner,et al.  Automated data acquisition by confocal laser scanning microscopy and image analysis of triple stained immunofluorescent leukocytes in tissue. , 2000, Journal of immunological methods.

[4]  S. Lockett,et al.  15 – AUTOMATED FLUORESCENCE IMAGE CYTOMETRY AS APPLIED TO THE DIAGNOSIS AND UNDERSTANDING OF CERVICAL CANCER , 1993 .

[5]  E. Beutner,et al.  Quantitative Studies of Immunofluorescent Staining , 1973 .

[6]  Image cytometric method for quantifying the relative amount of DNA in bacterial nucleoids using Escherichia coli , 1999, Journal of microscopy.

[7]  J. Sisken Chapter 4 Fluorescent Standards , 1989 .

[8]  J Bryan,et al.  Validation of an imaging system: steps to evaluate and validate a microscope imaging system for quantitative studies. , 1989, Methods in cell biology.

[9]  D. E. Wolf,et al.  Quantitative video microscopy. , 1998, Methods in cell biology.

[10]  Viergever,et al.  Retrospective shading correction based on entropy minimization , 2000, Journal of microscopy.

[11]  J. Miller,et al.  TCR, LFA-1, and CD28 play unique and complementary roles in signaling T cell cytoskeletal reorganization. , 1999, Journal of immunology.

[12]  J. Sisken Fluorescent standards. , 1989, Methods in cell biology.

[13]  S. Lockett,et al.  Quantitative precision of an automated, fluorescence-based image cytometer. , 1992, Analytical and quantitative cytology and histology.

[14]  D M Benson,et al.  Digital imaging fluorescence microscopy: spatial heterogeneity of photobleaching rate constants in individual cells , 1985, The Journal of cell biology.

[15]  J. Price,et al.  Ultra-rare-event detection performance of a custom scanning cytometer on a model preparation of fetal nRBCs. , 2000, Cytometry.

[16]  W. Dalton,et al.  Sensitive immunofluorescence detection of the expression of P-glycoprotein in malignant cells. , 1997, Cytometry.

[17]  Jeff W. Lichtman,et al.  A quantitative fluorescence-imaging technique for studying acetylcholine receptor turnover at neuromuscular junctions in living animals , 1996, Journal of Neuroscience Methods.

[18]  G Wick,et al.  Fluorescence properties of free and protein bound fluorescein dyes. I. Macrospectrofluorometric measurements. , 1978, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[19]  John C. Russ,et al.  The image processing handbook (3. ed.) , 1995 .

[20]  D. Kaplan,et al.  Characterization of instrumentation and calibrators for quantitative microfluorometry for immunofluorescence tests , 1989, Journal of clinical microbiology.

[21]  J. Peter,et al.  Precise quantitation of antinuclear antibodies on HEp-2 cells without the need for serial dilution , 1996, Clinical and diagnostic laboratory immunology.

[22]  K. Healy,et al.  Quantification of the surface density of a fluorescent label with the optical microscope. , 2000, Journal of biomedical materials research.

[23]  B R Duling,et al.  A light‐emitting diode light standard for photo‐ and videomicroscopy , 1993, Journal of microscopy.

[24]  M. Wilkinson,et al.  Shading correction and calibration in bacterial fluorescence measurement by image processing system. , 1994, Computer methods and programs in biomedicine.

[25]  John C. Russ,et al.  The Image Processing Handbook , 2016, Microscopy and Microanalysis.

[26]  F. Rost Quantitative fluorescence microscopy , 1991 .

[27]  M Kozubek,et al.  High-resolution cytometry of FISH dots in interphase cell nuclei. , 1999, Cytometry.

[28]  Alan S. Waggoner,et al.  Multiple spectral parameter imaging in quantitative fluorescence microscopy. I: Quantitation of bead standards. , 1989, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[29]  H. Tanke,et al.  Detection of immunocytochemically stained rare events using image analysis. , 1994, Cytometry.

[30]  M. Melamed,et al.  Laser scanning cytometry quantification of estrogen receptors in breast cancer. , 1998, Analytical and quantitative cytology and histology.