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Johanna M. Dela Cruz
United States
เข้าร่วมเมื่อ 1 ธ.ค. 2014
Listen, watch and learn with me. My channel is all about optical microscopy and image processing & analysis with FIJI (ImageJ). It is designed with students (high school, college undergraduate, graduate) and imaging researchers in mind. Very recently, I have started a new tutorial series on multiplex or multispectral fluorescence analysis of whole slide images with QuPath.
Thanks for watching, for subscribing, for sharing, and for keeping me company. Thanks for inspiring me to continue with this channel. Let's never stop learning...together.
By the way, if my background music distracts you from learning, just turn on that MUTE button...and if you want my video to slow down or speed up a notch, there's always the playback speed you can adjust.
Thanks for watching, for subscribing, for sharing, and for keeping me company. Thanks for inspiring me to continue with this channel. Let's never stop learning...together.
By the way, if my background music distracts you from learning, just turn on that MUTE button...and if you want my video to slow down or speed up a notch, there's always the playback speed you can adjust.
Measuring the Area of DAB in IHC images [QuPath - Thresholding]
Learn how to use QuPath to threshold regions in IHC images for area measurements. In particular, this tutorial shows how areas stained with DAB are measured. This tutorial is meant for Fiji (ImageJ) users who are looking for an alternative way to measure DAB in their IHC images.
Images used in this tutorial are from the Cell image Library [Larry True, Eric Deutsch, Laura Pascal, Tracy Sherertz, Laura Walashek, David Campbell, Alvin Liu (2012) ]: Tissue sections of human prostate containing adenocarcinoma immunostained for the cell-surface antigen CD90. Bound antibody was detected using avidin-biotin-peroxidase and diaminobenzidine (DAB). Sections were lightly counterstained with hematoxylin (nuclei stained in blue). The images are part of a large collection of images generated from numerous specimens to characterize the distribution of CD90 in human prostate tissue. CIL33962 (doi:10.7295/W9CIL33962), CIL34115 (doi:10.7295/W9CIL34115), CIL34119 (doi:10.7295/W9CIL34119).
SUBSCRIBE to have first access to new video tutorials: www.youtube.com/@johanna.m.dela-cruz
Images used in this tutorial are from the Cell image Library [Larry True, Eric Deutsch, Laura Pascal, Tracy Sherertz, Laura Walashek, David Campbell, Alvin Liu (2012) ]: Tissue sections of human prostate containing adenocarcinoma immunostained for the cell-surface antigen CD90. Bound antibody was detected using avidin-biotin-peroxidase and diaminobenzidine (DAB). Sections were lightly counterstained with hematoxylin (nuclei stained in blue). The images are part of a large collection of images generated from numerous specimens to characterize the distribution of CD90 in human prostate tissue. CIL33962 (doi:10.7295/W9CIL33962), CIL34115 (doi:10.7295/W9CIL34115), CIL34119 (doi:10.7295/W9CIL34119).
SUBSCRIBE to have first access to new video tutorials: www.youtube.com/@johanna.m.dela-cruz
มุมมอง: 120
วีดีโอ
Cell Detection in Whole Slide H&E Images [FIJI-StarDist, QuPath-ImageJ, QuPath-StarDist]
มุมมอง 2742 หลายเดือนก่อน
Learn how to detect cells in H&E-stained whole slide images using StarDist in FIJI, QuPath (interacting with ImageJ) and via a StarDist script in QuPath. The interactive nature bewtween QuPath and ImageJ are demonstrated. QuPath version used in demo: v.0.5.1 You can download the newest version here: qupath.github.io/ The QuPath-Stardist extension can be downloaded from here: github.com/qupath/q...
FIJI (ImageJ): Pseudocolor LUTs and the Channels Tool [LUTs, Inverting LUTs & more LUTs]
มุมมอง 5484 หลายเดือนก่อน
Learn how to use Lookup Tables (LUTs) in FIJI (ImageJ) to pseudocolor images for better visualization of microscopy image data. LUTs map numeric pixel values to a color and are helpful in creating meaningful visual contrasts in images. It is important to note that changing the LUT of an image does not change pixel values. The Channels tool is a helpful tool for visualizing multichannel images a...
Measuring Protein Expression and Cellular Fluorescence [Mean Gray Value vs Integrated Density]
มุมมอง 1.6K5 หลายเดือนก่อน
Learn how to use FIJI (ImageJ) to correctly measure cellular fluorescence and protein expression, and make the choice on whether to report mean fluorescence or total fluorescence based on the biological question you want to answer. Taking out background measurements as well as normalizing measurements also need to be accounted for. The examples shown in this tutorial are for 2D images. Timeline...
FIJI (ImageJ): Measuring Fluorescence Intensity in RGB Images: Dos and Don'ts
มุมมอง 3.3K7 หลายเดือนก่อน
Learn how to use FIJI (ImageJ) to measure fluorescence intensity. This tutorial shows how measurements are affected when RGB images are used instead of the original multi-channel images. SUBSCRIBE to have first access to new video tutorials: www.youtube.com/@johanna.m.dela-cruz
FIJI (ImageJ): Splitting Connected Objects with Watershed
มุมมอง 9219 หลายเดือนก่อน
Learn how to use FIJI (ImageJ) to separate objects that are touching, merged, connected or are clustered by using various watershed algorithms. Watershed procedures generate either binary or label images of the separated objects. Counting of these objects can be done with the Particle Analyzer (Analyze Particles) or using the ROI Manager or 3D Manager. Examples are shown for 2D and 3D (z-stack)...
FIJI (ImageJ): Counting Objects in a Grid
มุมมอง 1.5K10 หลายเดือนก่อน
Learn how to use FIJI (ImageJ) to count and measure objects inside a grid. This video shows how to do this step-by-step or by using a macro. The macro used in this tutorial was adapted from the image.sc forum (written by Rob Lees). SUBSCRIBE to have first access to new video tutorials: www.youtube.com/@johanna.m.dela-cruz
FIJI (ImageJ): Intensity Plot Profiles
มุมมอง 3.6K11 หลายเดือนก่อน
Learn how to use FIJI (ImageJ) to generate line profiles from single or multi-channel 2D or 3D (z stack) images. A number of options for creating plot profiles using various tools are demonstrated. 0:00 Introduction 0:13 Basic Plot Profile 1:45 Plot XY Profile (for stacks) 3:56 Visualization Toolset: Multi-Channel Plot Tool (for 2D images) 4:58 BAR: Multi Channel Plot Profile (for stacks) 5:53 ...
QuPath: Classifying Objects [Single Measurement]
มุมมอง 718ปีที่แล้ว
QuPath (Quantitative Pathology) multiplexed analysis video series in collaboration with the 'Image Scientist', Michael Nelson (University of Wisconsin - Madison) www.imagescientist.com/image-analysis#qupath * further text description, code, and sample project to be added here soon * video created using QuPath release candidate v0.5.0-rc1 QuPath software: Bankhead, P. et al. QuPath: Open source ...
QuPath: Classifying Objects 2 [Machine Learning]
มุมมอง 674ปีที่แล้ว
QuPath (Quantitative Pathology) multiplexed analysis video series in collaboration with the 'Image Scientist', Michael Nelson (University of Wisconsin - Madison) www.imagescientist.com/image-analysis#qupath * further text description, code, and sample project to be added here soon - www.imagescientist.com/mpx-intro * video created using QuPath release candidate v0.5.0-rc1 QuPath software: Bankh...
FIJI (ImageJ): 3D Reconstruction with 3D Script [A Re-release]
มุมมอง 2.5Kปีที่แล้ว
Learn how to use FIJI (ImageJ) to create 3-dimensional (3D) models from 2D image stacks. The plugin called 3D script is used for reconstruction and rendering. A step-by-step procedure for creating simple animations is also shown. This video combines 2 previously released (2021) videos: th-cam.com/video/FrhUq2Tk1mk/w-d-xo.htmlsi=swSDfUpPa7dGDUTs th-cam.com/video/onY0KJBGK6o/w-d-xo.htmlsi=SLbjL6u...
FIJI (ImageJ): Bone Analysis with BoneJ2 [Trabecular Bone]
มุมมอง 2.7Kปีที่แล้ว
Learn how to use FIJI (ImageJ) to analyze bone images using a collection of plugins from BoneJ2. This tutorial focuses on trabecular bone analysis. Measurement parameters for trabeculae include area/volume fraction, surface area, surface fraction, connectivity, thickness, purify, particle analysis, and skeleton analysis. Image credit (image stack of trabecular bone from condyle,Talpa europeae):...
FIJI (ImageJ): Normalized Distance Map [Eroded Volume Fraction]
มุมมอง 1.1Kปีที่แล้ว
Learn how to use FIJI (ImageJ) to measure the distribution of signal within layers of equal area or volume. A Euclidean Distance Map (EDT) is normalized to generate an Eroded Volume Fraction (EVF) map. The main plugins used are from the 3D ImageJ Suite collection. Check out the following tutorials for plugins used in this video: Visualization toolset and Action Bars: th-cam.com/video/E_Xlzh_L_C...
FIJI (ImageJ): Image Manipulation, Visualization and Figure Generation Made Easy
มุมมอง 2.2Kปีที่แล้ว
Learn how to use a new toolset in FIJI (ImageJ) to easily visualize images as well as create simple figures. The toolset uses action bars, macro shortcuts, and keyboard shortcuts to make image manipulation faster and more convenient. Tools used: IBMP-CNRS: Action Bars Visualization Toolset Visualization toolset: Kevin Terretaz. (2023). kwolbachia/Visualization_toolset: v3 zenodo (zenodo). Zenod...
QuPath: Pixel Classifiers
มุมมอง 827ปีที่แล้ว
QuPath (Quantitative Pathology) multiplexed analysis video series in collaboration with the 'Image Scientist', Michael Nelson (University of Wisconsin - Madison) www.imagescientist.com/image-analysis#qupath * further text description, code, and sample project to be added here soon * video created using QuPath version 0.4.4 QuPath software: Bankhead, P. et al. QuPath: Open source software for di...
FIJI (ImageJ): Automating Counting of Foci in Nuclei
มุมมอง 4.2Kปีที่แล้ว
FIJI (ImageJ): Automating Counting of Foci in Nuclei
FIJI (ImageJ): Ridge Detection [Measuring Line Width & Length]
มุมมอง 3Kปีที่แล้ว
FIJI (ImageJ): Ridge Detection [Measuring Line Width & Length]
FIJI (ImageJ): Segmentation - Binary Image vs Multi-Label Image vs Multi-Class Image
มุมมอง 1.4Kปีที่แล้ว
FIJI (ImageJ): Segmentation - Binary Image vs Multi-Label Image vs Multi-Class Image
FIJI (ImageJ): Image Enhancement with CLAHE [Contrast Limited Adaptive Histogram Equalization]
มุมมอง 2.7Kปีที่แล้ว
FIJI (ImageJ): Image Enhancement with CLAHE [Contrast Limited Adaptive Histogram Equalization]
FIJI (ImageJ): Region Growing Segmentation [Level Sets]
มุมมอง 1.3Kปีที่แล้ว
FIJI (ImageJ): Region Growing Segmentation [Level Sets]
FIJI (ImageJ): Using TrackMate to Segment z Stacks via StarDist
มุมมอง 2.4Kปีที่แล้ว
FIJI (ImageJ): Using TrackMate to Segment z Stacks via StarDist
FIJI (ImageJ): Geodesic Distance Maps [Measuring Distance Between 2 Points]
มุมมอง 1.9Kปีที่แล้ว
FIJI (ImageJ): Geodesic Distance Maps [Measuring Distance Between 2 Points]
FIJI (ImageJ): Estimation of Width Using Local Thickness
มุมมอง 4.2Kปีที่แล้ว
FIJI (ImageJ): Estimation of Width Using Local Thickness
FIJI (ImageJ): Morphology & Network Analysis of Mitochondria
มุมมอง 8Kปีที่แล้ว
FIJI (ImageJ): Morphology & Network Analysis of Mitochondria
FIJI (ImageJ): Labeling Connected Components and Regions
มุมมอง 2.1Kปีที่แล้ว
FIJI (ImageJ): Labeling Connected Components and Regions
Hi, I have a question about setting threshold. Whenever I change the threshold, it shows different volume results. The measured volume varies depending on the user-defined threshold. How can I ensure consistent and accurate measurements? Is there a way for the program to automatically determine the most appropriate threshold? Alternatively, is it possible to measure volume directly in the 3D viewer without setting a threshold? Thanks aways!
Hi Dongseok. Thresholding is subjective. There is no way we can say that a certain threshold level is the correct one. It will always depend on what you think is able to separate out your objects from the background as well as your own knowledge on what needs to be measured. The best way to do your analysis is to decide which automatic threshold algorithm to use, and stick with it for all your images. Thresholding is crucial if you want to isolate whatever you are measuring from the background.
how do you know which cell is # 1,2,3, etc?
@@E.Her100you can find this information in the 3D ROI Manager.
I stepped upon your nice channel and discovered by chance that you present the tool that I wrote (KymographClear). Just a major thank you for this and big kudos to your very useful channel :)
@@pierremangeol4387 thank you Pierre for a great toolset. I hope I was able to demonstrate what KymographClear can do, albeit a short overview.
@@johanna.m.dela-cruz Your presentation is perfect 🙂 I wish I did it when we published it. I try to do it on our new tools. Your format with text only comments works very well.
What file type would be best to import onto fiji? I have an image stack (.tif) that I want to use with the software. Thank you for the video, it was a great help!
@@MM-v1k9f Tiff files are definitely compatible with Fiji. A number of file formats in microscopy, medical imaging, and related life sciences also work with Fiji because of the BioFormats plugin.
@@johanna.m.dela-cruz Thank you so much!
Thanks for the video! I am using this to measure nuclear volume. I was wondering if there is a way to measure the nuclear thickness or height from a Z-stack? Thanks again!
@@aleevareela hello! You can try either the local thickness plugin or BoneJ. Geodesic distance maps can also be helpful.
Thank you for this very helpful video!!!!!
This has been a really helpful tutorial. I am trying to quantify LC3 puncta in cells after serum starvation in WT cell lines and some knockouts. How to rule out the false positive in the control cells which gives are mostly without an puncta?
Hello @AbhishekBalmik-eu3nr. You basically should process your images the same way for both the control and positive cells. Setting a size range for puncta to be included is also a good idea...again, this setting should be the same for both kinds of images.
Thank you for the excellent video. I'm having a hard time finding an easy-to-follow tutorial video. Thanks to your video I can run my quantification for my final project
Hi Johanna, Thank you so much for your work in reviewing the plugin and explaining its various features. I really appreciate your effort. I will add the link to your video in the plugin's GitHub repository so more people can access this valuable resource. Thanks again! 🙂
thank you for this.
your tutorial was perfect.thanks a lot
Hi Johanna, I hope you are well :) Do you know of any alternative to using Threshold in macro, so that it automatically matches the result of each image? Because each image generates different values, and there is no way I can provide a fixed value that works for the entire set of images (there are many)
You should publish this in Jove so I can cite you!
@AnduneYavetil, thanks for your support. This isn't something new...just wanted to make it easier for ImageJ/Fiji users to check out tools to do image analysis.
This video is EXTREMELY helpful and informative. It is a challenge to navigate through all of the myriad algorithms available within FIJI, specifically regarding registration. Thank you.
@@ibowman_UCLA_BRAIN Thanks for letting me help you.
hello,After stitching the pictures, there is a black line between each pair of pictures. How can I remove this boundary line?
@@selvamarin-k4o hello. When you acquired your images, did you have an overlap percentage for stitching?
@@johanna.m.dela-cruz To be honest, I don't know the exact overlap percentage of my pictures, but when I tried to set an overlap percentage and compute overlap , my pictures could not be sewn successfully, When I don't calculate the overlap rate, the pictures could be stitched together normally
@@johanna.m.dela-cruz I think the black lines between the pictures are caused by the uneven lighting of my pictures, but I don't know how to deal with this problem
@@selvamarin-k4o you could try applying a FFT bandpass filter. I have a tutorial on this in one of my videos: th-cam.com/video/SjwzCUYIFJ8/w-d-xo.html
@@johanna.m.dela-cruz thank you!
Great video I followed all the step but for some reason it’s not loading when I press measure. Can you please help. Thanks
Hi there. I’m nit sure what you mean by not loading….do you have objects in the 3D Manager?
Awesome! Thanks for your hard work!
Thank you for this video. I tried using this video as a guide to automatically measure the volume of breast lymph nodes in a T2 fat saturation MRI scan, which I took my self. I’m encountering problems and challenges with the threshold as it’s also highlighting / segmenting neighbouring structures with similar contrast. Also, I’m unsure of the min and max values in 3D object counter, as the values I’m putting aren’t allowing me to isolate the nodes alone. I’d appreciate your help as this image analysis is part of my masters research project. Thanks
@@rajaaalwodai5745 hi! Thresholding works best when there is a good contrast between your object and the background. Perhaps your image needs a different method of segmentation. Have you tried weka segmentation or maybe Labkit?
@ Hi, Thanks for replaying. How do I do that? I’m trying to automate the segmentation and then measure the volume of the lymph nodes rather than manually segmenting each node. I’m doing this on an mri scan / a stack of images rather than an individual one. Can you please provide some assistance. Thanks again
@@rajaaalwodai5745 I do have tutorials on Weka Segmentation and LabKit. Try checking them out.
@@johanna.m.dela-cruz Ok that’s Just to clarify, do these segmentation processes work on a stack of images ?
@@rajaaalwodai5745 yes, they do.
Is there any way to set a ROI so that cells outside of it will not be counted? Additionally is there a way to keep the number labels on the 3D viewer? Or add them after the 3D image is generated? I wanted to look at multiple channels in 3D, but when I add an image, I keep accidentally selecting it and it keeps moving, is there a way to keep it stationary?
@@claireseelingbranscomb2781 hi there. Do you have 2 channels and would like to count objects in one channel using ROIs from the other channel? If yes, then I would give your first question a thumbs up. The 3D viewer is just one way to view your image in 3D. You would first have to merge the channels in your images before you do 3D reconstruction.
@@johanna.m.dela-cruz Thank you for the reply. My biggest concern now is numbering the cells. Is there any way to add numbers to the 3D viewer?
@claireseelingbranscomb2781 I don't think the 3D viewer will show the numbers. You can try 3D Project or 3D Script.
How to do caliberation for nuclear morphometry
@prathyusharns9192. You should be able to acquire morphometric measurements if you know the scaling for your images, otherwise all measurements you get will be in pixels.
Thank you, this is helpful!
Do you know how to extract the average thickness with standard deviation? Much appreciate!
@@ZiwenHe-w5s If you export your measurements into excel, you should be able to compute for the mean and standard deviation.
I have two questions: 1. With the 3D Object counter, I can't get the numbers for the cells to actually show up. There are colored dots on the cells and table says there are cells but they have no numbering on the image. How can I get the numbers (I have already tried changing the size and checking & unchecking the option white numbers)? 2. Is there a way to merge the 3D viewer from from the 3D manager labels cells? I need to be able to see where the cells are related to the other channel of Nissl but when I tried to merge the channels I got an error that the files weren't the same type/size.
Hi @claireseelingbranscomb2781. Go to 3D OC Options first. Check the Maps' parameters and make sure Show numbers and White numbers are checked. To merge images, you have to convert one of them to match the other. For example, if the 3D Objects Map is 16-bit, check that your original image has the same bit-depth. othrwise, go to Image-Type and choose 16-bit.
Hello Johanna, can i have your email address? I've some questions about stitching images Nice video by the way
Hi am I able to get the macro for this?
@@Asianbabyblue17 Send me an email so I can send it to you.
if (canSigma) run("Sigma Filter Plus", "radius=" + sRadius + " use=2.0 minimum=0.2 outlier stack"..................why for thresholding in 3D, it does not recognize this command.
@@MrUnis Macros are not my strong suit, unfortunately. Did you use the macro recorder while using the plugin?
Hi, i am trying to do mitoanalysis but i am getting an error, unrecognized command Sigma filter plus in line 194...Could you help me here please?
@@MrUnis hi ! I think it has something to do with the way you installed the plugin. Are you using Windows or Mac?
@@johanna.m.dela-cruz windows
probably yes, because in 3D Treshold optimimize .....I did not get radius and outlier remover
Hi! Thanks for a great tutorial. When I threshold the image using default settings, I see in the ROI manager that several (individual) mitochondria are getting counted as a single ROI leading to massive numbers in the analysis. Is there any advice on how to reduce this? I used the nyquist equation to set my scanning parameters and I do not see a difference.
@@nickdenniston4271 hello. Did you try the Optimize Threshold command first to determine the right settings for your image? Default settings work most of the time, but not everytime. You could also try deconvolving your images first before using the plugin.
@ ive deconvolved the images and i have also tried a variety of threshold setting indicated by the optimize threshold command. The best setting i found is a block size of 1um and a C value of 16. With these settings i am not getting as much noise and it minimizes the issue of having multiple mito being grouped into a single ROI. I am now worried that this C value is too high and i am missing information. Any thoughts?
@ I would think that a high C value is actually ideal for a deconvolved image.
Turi ip ip ip... very useful!
My ImageJ crashes when I try to do the thresholding. I can't proceed further 🙁 I have tried uninstalling and re-installing ImageJ. Does anyone know what's the issue?
Hi @BCBNarjis. How big are your images? What type are they (2D, 3D, 4D)? Are you using Windows or do you have a Mac?
@johanna.m.dela-cruz the 3D image is 108mb, and the 2D image is 4 mb. I tried both 3D and 2D threshold but they both crash the app without any prompt. I am on Windows.
Hey. I had replied to the comment but somehow it didn't post and I didn't realise. Thanks for the quick response. I figured out that it was a memory issue. I allocated more memory and now it works fine. 😊
I had a 3D image, 108mb in size and I'm on Windows
hi, i want to ask, how to make multiple circle analysis in one image?
Hi @putusixtinadewandari4043. Do you mean your image is made up of several circular objects? Have you tried thresholding?
@johanna.m.dela-cruz not yet, how to do it? can you explain, please🙏
good luck
@johanna.m.dela-cruz, could you make a protocol to show a solution about this problem" Fluorescence signals at one emission wavelength were recorded with dual-excitation wavelengths (A and B), the a ratio of fluorescent intensity of A/B was obtained. Next step is to convert the gray scale of the ratio image into pseudocolors. "
Hi there! Is there any way to reverse the segmentation? we have been given 5 images from SEM (ti, si, w, k, and ca), and we are looking to input these different rgb images in one final image. Can this be done on segmentation or will it use different approach? tnx
Hi @lokiiiii3333. Do you mean put your images together as a montage or merge all these images together? Segmentation is just a way to make object identification and analysis easier.
@@johanna.m.dela-cruz thanks for the reply! what i meant was to merge 5 diff. images into one.
@ You should first convert your RGB images to 8-bit (Image - Type - 8 bit). Then, select Image - Color - Merge. The colors can be modified via LUTs.
Thanks a lot !!
Thank you so much for the great videos! I was trying to create a 3D projection of the merge between the object counter and the duplicate of my original image, however I get a message saying that "The source images must have the same depth." May I ask how I can troubleshoot this?
@@VaishnaviK-j5j Thanks for watching. In order to merge 2 different stacks, they have to have the same bit depth. You can change one of them to match with the other stack. Go to Image - Type - to do this.
@@johanna.m.dela-cruz Got it! It works now. Thanks so much:) Another question I had was related to why I'm unable to view the numbers on the 3D projection despite selecting "show numbers" on the maps parameters. Another strange thing is that when I view the results including volume, centroid volume etc I'm unable to see what serial numbers they correspond to. Sorry to bombard you with all these questions haha:')
@@VaishnaviK-j5j Did you check Statistics on the 'Results tables to show' in the OC Options? You can Redirect your results to your original image stack as well, just in case you are meauring intensities. As for the numbers, they are probably there...they're either too small or in a color that is similar to your object colors. Use a different LUT for your objects (e.g. glasbey on dark), The numbers are also in different slices of your z stack.
Hi my program freezes when opening the stl file Any suggestions?
Hi @simoneceron1915. Perhaps the experts in the image.sc forum might be able to help with this: forum.image.sc/.
Great video. It was very helpful for understanding the MorphoLibJ toolset and workflow. Are you aware of any way to provide quantification data?
Hello @evanh1132. Thanks for watching. MorphoLibJ also has analysis tools. You can check out some of these tools here: th-cam.com/video/YxCacx917tg/w-d-xo.htmlsi=Rh3OIxa8B4M-f8Pf
Thank you for the video! My pixel width/height doesn't fall in the given range. It is way out 352 um :" what should I do for counting then?>
Hi @sanyamjain4210. Are your files large? If they are not really whole slide images, perhaps you can open your files in Fiji and use StarDist to segment the cells. Also, is the pixel size really that large? Perhaps there might be something wrong with the spatial calibration in your image.
Thank you so much ! You made me understand 6 hours of class in 2 videos !
Glad this helped, @SoleneVacher. Thanks for watching.
Many thanks!!!!!💯
very helpful tutorial!
This is awesome. Thank you for this video. Do you know if Diana allows for analysis of time-lapse images?
Hi @acooper6521. DiAna is more of a 3D image analysis tool (object-based co-localization and distance analysis). There might be a different plugin that caters better to what you want to measure in time lapse images.
Dalton Ridge
I have let fluorescent agent (Protoporphyrin IX) diffuse into some gelatin samples with optical properties simulating that of human skin, and with SFDI I'm trying to estimate how deep the fluorescent agent diffuses. How should I model a PSF to de-blurr my images? I know the wavelengths and I assume a attenuation factor. Any ideas?
Hello @spanishflea634. I have no experience with SFDI, so I can't give you a definite answer to your questions. Is it considered an optical image? If it is not, then I don't think deconvolution has any scientific validation for these types of images. Perhaps what you need is an enhancement of your image (although I can't be sure about this since I don't really know what your image looks like). If you could share your image, maybe I can suggest some methods to enhance its quality.
Hi, Thank you for the videos they are resourceful. I am trying to track cells in 3D to calculate their angular velocity. I would appreciate some help with this.
Hi @shruthib8176. I don't think TrackMate has analyzers that measure angular velocity. It does have features that track motility type and mean directional change.
@@johanna.m.dela-cruz Thank you very much for getting back to me. I used the xy coordinates from the TrackMate to calculate the angular velocity.
Great content subscribed. Hallo, can you perhaps make video about how to count inflamation cell ilfitration on histology? Thank you so much, I really need it.
@@annisadwilestari4470 thanks for supporting my channel. I could try to do a tutorial like you suggested…I just need an image to work with.
Thank you so much for answering, it means a lot, because I'm currently struggle to learn how to do it. I'll be waiting for it.@@johanna.m.dela-cruz
@annisadwilestari4470 do you perhaps have an image i can use? You can email it to me if you’re ok with me using your image.
@@johanna.m.dela-cruz hey I'm actually have not a picture from my self. Is it okay if I took it from Journal/someone research and send you?
@@annisadwilestari4470 I guess i just need to know what exactly I’m working with or how the image would look like (since this is not a field I’m used to).
Hello from Argentina! I've been following you for a long time, and your videos are always great! Do you have any on immunohistochemistry analysis? I know you sometimes organize courses, and I’d love to learn more about them. Thanks!
Thank you Olivia (@oliviapietrobon5225) for your continued support. What type of measurements do you want to do on your IHC images?
@@johanna.m.dela-cruz Hello, I am analyzing images where I used immunohistochemistry to mark androgen receptors. Although it's not the same, when I saw your analysis in immunofluorescence, I noticed that the analysis is done for each ROI (Region of Interest) that you create. ¿Can I do the same in the case of immunohistochemistry? Another question, when you analyze each ROI, do you get a value for each one,To create the graph, ¿did you take an average of all those values? I hope my questions are clear. Thanks, Johanna!
@oliviapietrobon5225 As long as you arr able to segment the regions you want to measure, then, you can get measurements from each ROI. I am not sure what stain you used, but if you have DAB, quantifying intensity won’t be a sensible way to characterize antigen expression.
@@johanna.m.dela-cruz Hello, I use de tunel technique and caspasa 3 (for this i use DAB), now another question, I see that you're making a graph of the measurements; I'd like to know if you're calculating an average of the values from each ROI. My concern is that sometimes the values can be very different between each ROI, wouldn't that result in a high deviation?
@@oliviapietrobon5225 yes, it's an avaerage.
very good
Stop using this disgusting music, you piece of shit. Just talk over it. Your tutorials would be better if you talked.
Thanks for very good tutorial. Can you share the used dataset?
Hello @Lam-m3l. Thanks for watching my tutorial. Unfortunately, due to some permission issues, I can't share the images I used. However, there are several image datasets that you can use from this site: imagej.net/plugins/samples.
@@johanna.m.dela-cruz Thanks for the info. I was interested in the convoluted-looking fiber-like first dataset that you used. Not necessarily microglia though.
@Lam-m3l You’re right…that was a z-stack of microglia.