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References: <[log in to unmask]> Content-Type: text/plain; charset=us-ascii Message-ID: <[log in to unmask]> Date: Sat, 11 May 2002 14:50:28 +0200 Reply-To: ImageJ Interest Group <[log in to unmask]> Sender: ImageJ Interest Group <[log in to unmask]> From: Joachim Walter <[log in to unmask]> Subject: Re: interference filter pluginFor a simple start you could try to convert the image to an HSB stack, segment the "Hue" and convert back to RGB. The procedure I tried (maybe there is a simpler one): - Convert the RGB image to HSB with Image->Type->HSB Stack - Duplicate the first slice (Hue) with Image->Duplicate - Threshold the duplicated slice (with Image->Adjust->Threshold), so that hues, which you want to keep become white (255) and the rest is black (0). - Divide the thresholded image by 255 (Process->Math->Divide) to get a mask image with values of 0 and 1. - Multiply the HSB stack with the mask (Process->Image Calculator, process all slices) - Convert the HSB stack back to an RGB image (Image->Type->RGB) Again, maybe there is a simpler way to create the mask that I don't know of. The same procedure can be applied to stacks with the HSB-Stack-Splitter plugin. Just for the last step (converting HSB back to RGB) there seems to be no HSB-merge plugin. Good luck, Joachim F Javier Diez Guerra schrieb: > > Dear Martin, > > I am not looking for a plugin that substitutes for a physical filter. > > Imagine that you have captured beautiful fluorescence frames from > GFP-fusioned protein with a color camera. In addition to bright green > stained cells, you also observe that most cells have an orange-yellowish > staining because of a treatment with a protein kinase inhibitor that shows > some fluorescence. > > In order to remove the orange background staining, I understand that the > best approach is to use a narrow-band emission filter in the cube. This is > something that we definitely will try once we get such filter. > > In the meantime, we have these beautiful time-lapsed images that we would > like to enhance. If the background color were red instead of orange, we all > would consider appropriate to separate RGB channels and then pick the green > one. However, RGB channel separation does not render proper background > removal in this case. > > So my question: > Is there any way (or plugin) of post-processing such images to remove the > orange background while maintaining the green signal? > > Thanks, -- ------------------------------------------------------------------ Joachim Walter Till ID c\o Bioimaging Zentrum Am Klopferspitz 19 82152 Martinsried, Germany Tel.: +49-89-899232-35 Fax: +49-89-899232-10 [log in to unmask] ------------------------------------------------------------------
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