Hi,
I currently use the colocalization threshold plugin to calculate the linear regression between two channels. At present this plugin can only use 8bit or 16bit unsigned byte images. Is it possible to change the plugin to accept 32bit float images or is there another plugin out there which can do this. Hoe you can help Colin -- Dr Colin Rickman Centre for Integrative Physiology School of Biomedical Sciences University of Edinburgh Hugh Robson Building George Square Edinburgh EH8 9XD Tel: +44 131 6511512 Fax: +44 131 6503128 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. |
Hi Colin,
May be tricky. The original algorithm steps through the data setting a threshold at "intensity/2" until it finds one where the Pearson's value is zero. With a 32-bit image this would require too many steps! I'm also not sure 32-bit would give you much more information. Pearson's coefficient normalises the data anyway so you may want to scale it to 16-bits. Hope this helps, Tony -----Original Message----- From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of Colin Rickman Sent: November-03-08 6:17 AM To: [hidden email] Subject: 32bit colocalization plugin Hi, I currently use the colocalization threshold plugin to calculate the linear regression between two channels. At present this plugin can only use 8bit or 16bit unsigned byte images. Is it possible to change the plugin to accept 32bit float images or is there another plugin out there which can do this. Hoe you can help Colin -- Dr Colin Rickman Centre for Integrative Physiology School of Biomedical Sciences University of Edinburgh Hugh Robson Building George Square Edinburgh EH8 9XD Tel: +44 131 6511512 Fax: +44 131 6503128 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. |
Hi Tony,
Thanks for getting back to me. I'm not after the threshold values. I use the values for the gradient (m) and y-intercept (b) given by the plugin to calculate the residual for each pixel in the image (which I then colour code). The calculations for this all use 32 bit float (to permit both negative and non-integer values). I am trying to avoid converting from 32bit (the data currently contains non-integer values) to signed integer to use the plugin but then calculating the residuals back in 32bit float. If there is an alternative plugin which can provide the gradient, y-intercept and Pearsons correlation coefficient using two 32bit float 3D stacks that would be great. Colin Tony Collins wrote: > Hi Colin, > > May be tricky. The original algorithm steps through the data setting a threshold at "intensity/2" until it finds one where the Pearson's value is zero. With a 32-bit image this would require too many steps! > > I'm also not sure 32-bit would give you much more information. Pearson's coefficient normalises the data anyway so you may want to scale it to 16-bits. > > Hope this helps, > > Tony > > -----Original Message----- > From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of Colin Rickman > Sent: November-03-08 6:17 AM > To: [hidden email] > Subject: 32bit colocalization plugin > > Hi, > > I currently use the colocalization threshold plugin to calculate the > linear regression between two channels. At present this plugin can only > use 8bit or 16bit unsigned byte images. Is it possible to change the > plugin to accept 32bit float images or is there another plugin out there > which can do this. > > Hoe you can help > > Colin > > -- > Dr Colin Rickman > Centre for Integrative Physiology > School of Biomedical Sciences > University of Edinburgh > Hugh Robson Building > George Square > Edinburgh > EH8 9XD > > Tel: +44 131 6511512 > Fax: +44 131 6503128 > > > The University of Edinburgh is a charitable body, registered in > Scotland, with registration number SC005336. > > -- Dr Colin Rickman Centre for Integrative Physiology School of Biomedical Sciences University of Edinburgh Hugh Robson Building George Square Edinburgh EH8 9XD Tel: +44 131 6511512 Fax: +44 131 6503128 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. |
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