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Atherosclerotic plaques of human and mice arteries
We have extensive experience with this application including many satisfied customers.
This task can be quantified semi-automatically
• 1-2 minutes per image
• Unlimited number of images – suitable for large series
• Fully standardized – no subjective input
• Automatic grouping of images
• Learning time: 1 hour maximum. No scripting or programming required
• Remove artifacts easily
• Example reference: {Bourghardt, J et al. Enocrinology 2007}
Quantification of total immunohistochemical labeling of proteins with DAB, Vulcan
Red or similar
We have at least five years of experience with this task and many satisfied customers.
This application can be quantified fully automatic.
• 0 minutes per image (around 5 minutes in total)
• Unlimited number of images – suitable for large series
• Fully standardized – no subjective input
• Automatic grouping of images
• Remove artifacts easily
• Learning time: 0,5 hour maximum. No scripting or programming required
• Example references: {Bourghardt, J et al. Enocrinology 2007}
Quantification of total immunohistochemical labeling of proteins normalized
to total area of tissue or remaining cells. Proteins labeled with DAB, Vulcan red
or similar, and background with hematoxyline or similar
We have at least five years of experience with this task and many satisfied customers.
This application can be quantified fully automatic.
• 0 minutes per image (around 5 minutes in total)
• Unlimited number of images – suitable for large series
• Fully standardized – no subjective input
• Automatic grouping of images
• Remove artifacts easily
• Learning time: 0,5 hour maximum. No scripting or programming required
• Example references: {Bourghardt, J et al. Enocrinology 2007}
Quantification and size measurements of intracellular objects labeled with dye
or cytochemistry
We have at least five years of experience with this task and many satisfied customers.
This application can be quantified fully automatic.
• 0 minutes per image (around 5 minutes in total)
• Unlimited number of images – suitable for large series
• Fully standardized – no subjective input
• Automatic grouping of images
• Remove artifacts easily
• Learning time: 1 hour maximum. No scripting or programming required
• Example references: {Li et al, Journal of lipid research, 2006}
Quantification and size measurements of intracellular objects labeled with dye
or immunocytochemistry normalized to number of cells
We have at least five years of experience with this task and many satisfied customers.
This application can be quantified fully automatic.
• 0 minutes per image (around 5 minutes in total)
• Unlimited number of images – suitable for large series
• Fully standardized – no subjective input
• Automatic grouping of images
• Remove artifacts easily
• Learning time: 1 hour maximum. No scripting or programming required
• Example references: {Bostrom et al, Nature Cell Biology, 2007}
Quantification of co-localization of dual staining. Includes immunocytochemistry,
conventional dyes and fluorescent dyes
We have at least two years of experience with this task and satisfied customers.
This application can be quantified fully automatic.
• 0 minutes per image (around 5 minutes in total)
• Unlimited number of images – suitable for large series
• Fully standardized – no subjective input
• Automatic grouping of images
• Remove artifacts easily
• Learning time: 1 hour maximum. No scripting or programming required
• Example references: {Johansson, H, submitted, 2008}
3D-recronstruction of cellular/histological images We have at least five years
of experience with this task and many satisfied customers
We can quantify number of 3D-objects, volume of 3D objects or total volumes.
• 1-2 minutes per reconstruction
• Fully standardized – no subjective input
• Automatic grouping of images
• Remove artifacts easily
• Learning time: 1 hour maximum. No scripting or programming required
• Example references: {Bostrom et al, Atherosclerosis and Vascular Trombosis, 2005}
Co-localization in 3D after conventional dyes or immunohistochemistry
We have at least two years of experience with this task and satisfied customers.
This application can be quantified fully automatic.
• 0 minutes per image (around 5 minutes in total)
• Unlimited number of images – suitable for large series
• fully standardized – no subjective input
• Automatic grouping of images
• Remove artifacts easily
• Learning time: 1 hour maximum. No scripting or programming required
• References: {Johansson, H, submitted, 2008}
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