Dear all and a happy new year!
I am working with deltavision files that I want to deconvolve with ImageJ. Is there some easy to understand step by step tutorial? I searched a bit with google but had no success ... Maybe someone of you can provide me the necessary informations. Thanks a lot in advance, Thorsten |
Dear Thorsten,
If you already have a point spread function (or you can generate one), then my plugins should work: http://sites.google.com/site/piotrwendykier/software/deconvolution/parallelspectraldeconvolution http://sites.google.com/site/piotrwendykier/software/deconvolution/paralleliterativedeconvolution User guides are also available. Piotr On Thu, Jan 7, 2010 at 8:59 AM, Thorsten Kolb <[hidden email]> wrote: > Dear all and a happy new year! > > I am working with deltavision files that I want to deconvolve with ImageJ. > Is there some easy to understand step by step tutorial? I searched a bit > with google but had no success ... Maybe someone of you can provide me the > necessary informations. > > Thanks a lot in advance, > > Thorsten > |
I do not have a point spread function, but have optical transfer
funcions from the deltavision software. Is it possible for a non mathematician like me to convert them to a PSF, or can I use the OTFs somehow directly? Thorsten > Dear Thorsten, > > If you already have a point spread function (or you can generate one), > then my plugins should work: > > http://sites.google.com/site/piotrwendykier/software/deconvolution/parallelspectraldeconvolution > http://sites.google.com/site/piotrwendykier/software/deconvolution/paralleliterativedeconvolution > > User guides are also available. > > Piotr > > On Thu, Jan 7, 2010 at 8:59 AM, Thorsten Kolb <[hidden email]> wrote: > >> Dear all and a happy new year! >> >> I am working with deltavision files that I want to deconvolve with ImageJ. >> Is there some easy to understand step by step tutorial? I searched a bit >> with google but had no success ... Maybe someone of you can provide me the >> necessary informations. >> >> Thanks a lot in advance, >> >> Thorsten >> >> -- Thorsten Kolb Functional Architecture of the Cell (B065) German Cancer Research Center (DKFZ) Im Neuenheimer Feld 580 (TP3) 69120 Heidelberg Germany Fon: +49 6221 42 3514 or 3517 Email: [hidden email] |
Thorsten,
just a short note on your issue. First I assume that you deal with 2D-deconvolution (image enhancement/sharpening) and not with depth reconstruction (3D). OTF: optical transfer function PSF: point spread function In fact the OTF is related to the PSF, but the latter is commonly not fully determined by the former. Commonly published OTFs represent (grosso modo) the modulus of the Fourier-transform of the PSF. In general however the complete transfer function is complex-valued (modulus and phase) and therefore the OTF doesn't provide enough information. As the name suggests, the PSF is the response of your optical system to a point in the object plane, i.e. the image of the point. You may experimentally approximate an ideal point by a tiny small object, i.e. a colour bead or the like. Depending on your optics and especially your illumination (coherent, partially coherent, incoherent) the image of a point-like object may actually show negative values that can't be recognized as such in the detected image and must indirectly be reconstructed. If the phase component of the transfer function is negligible, then you may Fourier-transform the OTF in order to gain the PSF. >I do not have a point spread function, but have optical transfer >funcions from the deltavision software. >Is it possible for a non mathematician like me to convert them to a >PSF, or can I use the OTFs >somehow directly? > >Thorsten >>Dear Thorsten, >> >>If you already have a point spread function (or you can generate one), >>then my plugins should work: >> >>http://sites.google.com/site/piotrwendykier/software/deconvolution/parallelspectraldeconvolution >>http://sites.google.com/site/piotrwendykier/software/deconvolution/paralleliterativedeconvolution >> >>User guides are also available. >> >>Piotr >> >>On Thu, Jan 7, 2010 at 8:59 AM, Thorsten Kolb >><[hidden email]> wrote: >> >>>Dear all and a happy new year! >>> >>>I am working with deltavision files that I want to deconvolve with ImageJ. >>>Is there some easy to understand step by step tutorial? I searched a bit >>>with google but had no success ... Maybe someone of you can provide me the >>>necessary informations. >>> >>>Thanks a lot in advance, >>> >>>Thorsten >-- >Thorsten Kolb >Functional Architecture of the Cell (B065) >German Cancer Research Center (DKFZ) >Im Neuenheimer Feld 580 (TP3) >69120 Heidelberg >Germany > >Fon: +49 6221 42 3514 or 3517 >Email: [hidden email] HTH -- Herbie ------------------------ <http://www.gluender.de> |
In reply to this post by Kolb, Thorsten
You might take a look at Robert Dougherty's deconvolution programs
On Fri, Jan 8, 2010 at 5:13 AM, Thorsten Kolb <[hidden email]>wrote: > I do not have a point spread function, but have optical transfer funcions > from the deltavision software. > Is it possible for a non mathematician like me to convert them to a PSF, > or can I use the OTFs > somehow directly? > > > Thorsten > > Dear Thorsten, >> >> If you already have a point spread function (or you can generate one), >> then my plugins should work: >> >> >> http://sites.google.com/site/piotrwendykier/software/deconvolution/parallelspectraldeconvolution >> >> http://sites.google.com/site/piotrwendykier/software/deconvolution/paralleliterativedeconvolution >> >> User guides are also available. >> >> Piotr >> >> On Thu, Jan 7, 2010 at 8:59 AM, Thorsten Kolb <[hidden email]> >> wrote: >> >> >>> Dear all and a happy new year! >>> >>> I am working with deltavision files that I want to deconvolve with >>> ImageJ. >>> Is there some easy to understand step by step tutorial? I searched a bit >>> with google but had no success ... Maybe someone of you can provide me >>> the >>> necessary informations. >>> >>> Thanks a lot in advance, >>> >>> Thorsten >>> >>> >>> >> > > -- > Thorsten Kolb > Functional Architecture of the Cell (B065) > German Cancer Research Center (DKFZ) > Im Neuenheimer Feld 580 (TP3) > 69120 Heidelberg > Germany > > Fon: +49 6221 42 3514 or 3517 > Email: [hidden email] > -- Joel B. Sheffield, Ph.D Department of Biology Temple University Philadelphia, PA 19122 Voice: 215 204 8839 e-mail: [hidden email] URL: http://astro.temple.edu/~jbs <http://astro.temple.edu/%7Ejbs> |
In reply to this post by Gluender-3
Hi,
I second that. If your OTF only has modulus information, but misses phase information, it will not give enough info about the most important aberrations in cell microscopy, that are caused by index mismatches in the environment and the cell and residual lense aberrations. Modulus errors (apodisation) instead only have a slight effect on the results and are usually small, if they become large, phase effects will be "active" too! However, I looked around a bit on the net about that Deltavision software but could not find too much details. How does it derive that OTF? Only by theoretical grounds? Mit freundlichen Grüßen / Best regards Joachim Wesner Projektleiter Optik Technologiesysteme Gluender <[hidden email]> Gesendet von: An ImageJ Interest [hidden email] Group Kopie <[hidden email]. GOV> Thema Re: basics steps for deconvolution of microscopic images 08.01.2010 13:04 Bitte antworten an ImageJ Interest Group <[hidden email]. GOV> Thorsten, just a short note on your issue. First I assume that you deal with 2D-deconvolution (image enhancement/sharpening) and not with depth reconstruction (3D). OTF: optical transfer function PSF: point spread function In fact the OTF is related to the PSF, but the latter is commonly not fully determined by the former. Commonly published OTFs represent (grosso modo) the modulus of the Fourier-transform of the PSF. In general however the complete transfer function is complex-valued (modulus and phase) and therefore the OTF doesn't provide enough information. As the name suggests, the PSF is the response of your optical system to a point in the object plane, i.e. the image of the point. You may experimentally approximate an ideal point by a tiny small object, i.e. a colour bead or the like. Depending on your optics and especially your illumination (coherent, partially coherent, incoherent) the image of a point-like object may actually show negative values that can't be recognized as such in the detected image and must indirectly be reconstructed. If the phase component of the transfer function is negligible, then you may Fourier-transform the OTF in order to gain the PSF. >I do not have a point spread function, but have optical transfer >funcions from the deltavision software. >Is it possible for a non mathematician like me to convert them to a >PSF, or can I use the OTFs >somehow directly? > >Thorsten >>Dear Thorsten, >> >>If you already have a point spread function (or you can generate one), >>then my plugins should work: >> >>http://sites.google.com/site/piotrwendykier/software/deconvolution/parallelspectraldeconvolution >>http://sites.google.com/site/piotrwendykier/software/deconvolution/paralleliterativedeconvolution >> >>User guides are also available. >> >>Piotr >> >>On Thu, Jan 7, 2010 at 8:59 AM, Thorsten Kolb >><[hidden email]> wrote: >> >>>Dear all and a happy new year! >>> >>>I am working with deltavision files that I want to deconvolve with >>>Is there some easy to understand step by step tutorial? I searched a bit >>>with google but had no success ... Maybe someone of you can provide me the >>>necessary informations. >>> >>>Thanks a lot in advance, >>> >>>Thorsten >-- >Thorsten Kolb >Functional Architecture of the Cell (B065) >German Cancer Research Center (DKFZ) >Im Neuenheimer Feld 580 (TP3) >69120 Heidelberg >Germany > >Fon: +49 6221 42 3514 or 3517 >Email: [hidden email] HTH -- Herbie ------------------------ <http://www.gluender.de> ______________________________________________________________________ This email has been scanned by the MessageLabs Email Security System. For more information please visit http://www.messagelabs.com/email ______________________________________________________________________ |
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