tag:blogger.com,1999:blog-3959019086245829585.post1361311318197917378..comments2024-03-13T05:58:05.617+00:00Comments on R for Biochemists: Counting and identifying stained cells step by stepUnknownnoreply@blogger.comBlogger2125tag:blogger.com,1999:blog-3959019086245829585.post-53977472284322897412019-07-01T22:37:56.639+01:002019-07-01T22:37:56.639+01:00This should certainly be possible.
If you can see...This should certainly be possible. <br />If you can see a difference in one of your colours R, B or G, you could try just using that colour. <br />If you want to make contact by twitter (https://twitter.com/brennanpcardiff) and share some data, I might be able to help. Paul Brennanhttps://www.blogger.com/profile/12648151135957634553noreply@blogger.comtag:blogger.com,1999:blog-3959019086245829585.post-44323975285897054022019-06-24T19:07:37.189+01:002019-06-24T19:07:37.189+01:00Hi there, I really like this application of imager...Hi there, I really like this application of imager but have been unable to successfully implement it. My photos are in RBG and I have tried to convert them to grayscale using the imager function grayscale(x), but I receive the error: "Error in if (spectrum(im) == 1) { : missing value where TRUE/FALSE needed".<br /><br />Is there a way to undertake your above process in RBG? Or, do you have ideas of how I can get around the error from the grayscale conversion? The portion of your code above starting at the gaussian blur does not work on RBG photos. The photos I would like to analyze are of grey-green objects (juvenile American Eels climbing a surface) on a darker green / grey background. I would like to enumerate the number of eels in a quadrat. <br /><br />thank you!Anonymousnoreply@blogger.com