does anyone know if image j is able to count positive vs negative stained cells in an immunohistochemical image? - i've attached below a .jpeg image as an example of tumor cells staining positive (brown) vs non-staining cells (blue). it would be great if the program can be used to mark and record # of positive cells vs negative cells instead of laborious and error -prone manual counting
in the help menu of the program there doesn't seem to be a counting tool, but maybe i'm just not finding it? any help in using the program for this purpose would be greatly appreciated many thanks! Owen Lockerbie, PhD University of Colorado Cancer Center Division of Medical Oncology Aurora CO 80010 Tel 303 724 3875 email : [hidden email] <https://webmail.uchsc.edu/exchange/Owen.Lockerbie/Sent%20Items/No%20Subject-17.EML/Ki67%236-2%20061206.jpg/C58EA28C-18C0-4a97-9AF2-036E93DDAFB3/Ki67%236-2%20061206.jpg?attach=1> Owen Lockerbie, PhD University of Colorado Cancer Center Division of Medical Oncology Aurora CO 80010 Tel 303 724 3875 email : [hidden email] ________________________________ From: Lockerbie, Owen Sent: Mon 6/26/2006 1:34 PM To: [hidden email] Subject: does anyone know if image j is able to count positive vs negative stained cells in an immunohistochemical image? - i've attached a .jpeg image as an example of tumor cells staining positive (brown) vs non-staining cells (blue). it would be great if the program can be used to mark and record # of positive cells vs negative cells instead of laborious and error -prone manual counting in the help menu of the program there doesn't seem to be a counting tool, but maybe i'm just not finding it? any help in using the program for this purpose would be greatly appreciated many thanks! Owen Lockerbie, PhD University of Colorado Cancer Center Division of Medical Oncology Aurora CO 80010 Tel 303 724 3875 email : [hidden email] |
If you mean automatic evaluation, ImageJ is not doing that by itself,
but in principle can be programmed to do it. However, it is a difficult task, due to the many variables involved in the staining process (I have a student doing a master thesis on that, and I had other students in the past, not with ImageJ). A little bit easier could be if done on tissue microarrays, because of the possibility of including a control core with known positivity and intensity. By the way, your attachment cannot be reached without a password. Regards, Vincenzo Della Mea Il giorno 26/giu/06, alle ore 21:39, Owen Lockerbie ha scritto: > does anyone know if image j is able to count positive vs negative > stained cells in an immunohistochemical image? - i've attached > below a .jpeg image as an example of tumor cells staining positive > (brown) vs non-staining cells (blue). it would be great if the > program can be used to mark and record # of positive cells vs > negative cells instead of laborious and error -prone manual counting > > in the help menu of the program there doesn't seem to be a counting > tool, but maybe i'm just not finding it? > > any help in using the program for this purpose would be greatly > appreciated * Vincenzo Della Mea * Medical Informatics, Telemedicine and Ehealth Lab * University od Udine, Italy * http://mitel.dimi.uniud.it/ - http://www.eslide.net |
Hi,
could you send the image to my personal email address, then I will have a look on it. Anneliese [hidden email] Vincenzo Della Mea schrieb: > If you mean automatic evaluation, ImageJ is not doing that by itself, > but in principle can be programmed to do it. However, it is a > difficult task, due to the many variables involved in the staining > process (I have a student doing a master thesis on that, and I had > other students in the past, not with ImageJ). A little bit easier > could be if done on tissue microarrays, because of the possibility of > including a control core with known positivity and intensity. > By the way, your attachment cannot be reached without a password. > Regards, > Vincenzo Della Mea > > Il giorno 26/giu/06, alle ore 21:39, Owen Lockerbie ha scritto: > >> does anyone know if image j is able to count positive vs negative >> stained cells in an immunohistochemical image? - i've attached below >> a .jpeg image as an example of tumor cells staining positive (brown) >> vs non-staining cells (blue). it would be great if the program can >> be used to mark and record # of positive cells vs negative cells >> instead of laborious and error -prone manual counting >> >> in the help menu of the program there doesn't seem to be a counting >> tool, but maybe i'm just not finding it? >> >> any help in using the program for this purpose would be greatly >> appreciated > > > * Vincenzo Della Mea > * Medical Informatics, Telemedicine and Ehealth Lab > * University od Udine, Italy > * http://mitel.dimi.uniud.it/ - http://www.eslide.net > |
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