Very informative video. Many thanks for your efforts!
@johanna.m.dela-cruz Жыл бұрын
My pleasure. Thanks for watching. 😊
@mathewduguay2898 Жыл бұрын
Hello! Can you do any kind of quantitative analysis after applying these methods, as long as the methods are applied uniformly over all samples?
@johanna.m.dela-cruz Жыл бұрын
Hi Matthew. When quantification is required, background correction is good.
@johanna.m.dela-cruz3 жыл бұрын
Remember, you can always do better!
@tomaszuspienski48332 жыл бұрын
Hi very comprehensive video, short and clear. Is an image processed in this way suitable for fluorescent measurement and for comparison with another image processed in the same way?
@johanna.m.dela-cruz2 жыл бұрын
Hi @Tomasz. If images are acquired the same way (same acquisition parameters), post-processing prior to measurements are best done in a similar way. Thanks for taking the time to give me your feedback.
@felinetropical8822 Жыл бұрын
Can I perform deconvolution to an image if I had processed it with "background subtraction" or vice versa?
@johanna.m.dela-cruz Жыл бұрын
Hi Feline. Deconvolution works best if images have high signal to noise ratio. Background subtraction does help to achieve this.
@mathewduguay28982 жыл бұрын
Great video! Are "background correction" and "background subtraction" synonymous? I always thought we needed those special coloured slides to image and work from.
@johanna.m.dela-cruz2 жыл бұрын
Hi @Mathew Duguay. Thanks for watching. Background correction and subtraction are used synonymously. They both mean correcting image defects mainly caused by uneven illumination in fluorescence microscopy post-acquisition. Fluorescent plastic slides are generally used during the acquisition process as a quick check on the uniformity of illumination and whether it is centered.
@mathewduguay28982 жыл бұрын
@@johanna.m.dela-cruz Oh I see. So the coloured slides are not imaged or used in processing. That's part of what I was confused about, I have these coloured slides but no procedure for correction or subtraction mentioned them. Thanks for clearing that up :)
@huanyili90192 жыл бұрын
Hey, I like your video very much. How can I find some datasets to practice ?
@johanna.m.dela-cruz2 жыл бұрын
Hi HuanYi Li. Fiji/ImageJ has sample images (File>Open Samples) that you can use for practice. You can also check out other resources at www.cellimagelibrary.org/home.
@cristhiancampob2 жыл бұрын
Hii Omg please can u help me🥹 i cand do it. Even i cant download the ImageJ in the Mac. This week i have a presentation, please can u help me? Regards from Mexico
@johanna.m.dela-cruz2 жыл бұрын
Hi Cristhian. Send me an email. I’ll help you. By the way, you can download Fiji from here - fiji.sc/#. There’s a version for Mac.
@cristhiancampob2 жыл бұрын
@@johanna.m.dela-cruz Wow. In first place Thank u very much for answer me. Wow. 2. Please give me ur mail account
@johanna.m.dela-cruz2 жыл бұрын
@@cristhiancampob Check my “About” info in my channel.