2009
DOI: 10.1016/j.cmpb.2008.08.006
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BlobFinder, a tool for fluorescence microscopy image cytometry

Abstract: Pages 8 c o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e x x x ( 2Images can be acquired at high rates with modern fluorescence microscopy hardware, giving rise to a demand for high-speed analysis of image data. Digital image cytometry, i.e., automated measurements and extraction of quantitative data from images of cells, provides valuable information for many types of biomedical analysis. There exists a number of different image analysis software packages that can be programmed to… Show more

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Cited by 117 publications
(111 citation statements)
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“…The quantification of the dot-like PLA products was performed using BlobFinder V3.2. 42 and washed in PBS with 0.05 mg/ml CaCl 2 and 3% BSA. Cells were incubated for 1 h with the extracellular primary antibody against E-cadherin, HECD1 (Zymed Laboratories) at 1:50 dilution.…”
Section: Proximity Ligation Assaymentioning
confidence: 99%
“…The quantification of the dot-like PLA products was performed using BlobFinder V3.2. 42 and washed in PBS with 0.05 mg/ml CaCl 2 and 3% BSA. Cells were incubated for 1 h with the extracellular primary antibody against E-cadherin, HECD1 (Zymed Laboratories) at 1:50 dilution.…”
Section: Proximity Ligation Assaymentioning
confidence: 99%
“…Images were acquired with an AxioCam MRm camera (Zeiss, Stockholm, Sweden). Fluorescence microscopy signals were quantified with the BlobFinder software, 50 a freely available image analysis tool for image cytometry. Cell nuclei and point-source fluorescence signals were defined and quantified by shape and fluorescence intensity according to the standard procedures for this software tool.…”
Section: Proximity Ligation Assaymentioning
confidence: 99%
“…The existing techniques based on digital microscopy [13][14][15][16] , however, are time-consuming and resource-demanding, as images are typically captured for the entire sample area, or even through three-dimensional space [17][18][19][20] , followed by stitching and processing to identify and quantitate targets of interest. Their quantification is also less accurate, because different types of noise and background emission interfere in the measurement of absolute intensities, and targets that are randomly located at the periphery of the field-of-view (FOV) have large variation in excitation and detection efficiencies [21][22][23] .…”
Section: Introductionmentioning
confidence: 99%