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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.
Cell Detection in Whole Slide H&E Images [FIJI-StarDist, QuPath-ImageJ, QuPath-StarDist]
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/qupath-extension-stardist
Stardist pre-trained models can be downloaded from here: github.com/qupath/models/tree/main/stardist
QuPath created by: Bankhead, P. et al. (2017). QuPath: Open source software for digital pathology image analysis. Scientific Reports. doi.org/10.1038/s41598-017-17204-5
Image credit: CIL55706: Chloe Martin-King; Ali Nael; Louis Ehwerhemuepha; Blake Calvo; Quinn Gates; Jamie Janchoi; Elisa Ornelas; Melissa Perez; Andrea Venderby; John Miklavcic; Peter Chang; Kenneth Grant (2024) CIL:55706, Homo sapiens. CIL. Dataset. doi.org/doi:10.7295/W9CIL55706
SUBSCRIBE to have first access to new video tutorials: www.youtube.com/@johanna.m.dela-cruz
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/qupath-extension-stardist
Stardist pre-trained models can be downloaded from here: github.com/qupath/models/tree/main/stardist
QuPath created by: Bankhead, P. et al. (2017). QuPath: Open source software for digital pathology image analysis. Scientific Reports. doi.org/10.1038/s41598-017-17204-5
Image credit: CIL55706: Chloe Martin-King; Ali Nael; Louis Ehwerhemuepha; Blake Calvo; Quinn Gates; Jamie Janchoi; Elisa Ornelas; Melissa Perez; Andrea Venderby; John Miklavcic; Peter Chang; Kenneth Grant (2024) CIL:55706, Homo sapiens. CIL. Dataset. doi.org/doi:10.7295/W9CIL55706
SUBSCRIBE to have first access to new video tutorials: www.youtube.com/@johanna.m.dela-cruz
มุมมอง: 99
วีดีโอ
FIJI (ImageJ): Pseudocolor LUTs and the Channels Tool [LUTs, Inverting LUTs & more LUTs]
มุมมอง 3782 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 1.1K3 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 2.5K5 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 7847 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 1.4K9 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 3K9 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 64810 หลายเดือนก่อน
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 60010 หลายเดือนก่อน
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 2.2K10 หลายเดือนก่อน
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 2.4K11 หลายเดือนก่อน
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 98011 หลายเดือนก่อน
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 1.9Kปีที่แล้ว
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 744ปีที่แล้ว
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...
QuPath: Thresholding
มุมมอง 934ปีที่แล้ว
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 3.7Kปีที่แล้ว
FIJI (ImageJ): Automating Counting of Foci in Nuclei
FIJI (ImageJ): Ridge Detection [Measuring Line Width & Length]
มุมมอง 2.7Kปีที่แล้ว
FIJI (ImageJ): Ridge Detection [Measuring Line Width & Length]
FIJI (ImageJ): Segmentation - Binary Image vs Multi-Label Image vs Multi-Class Image
มุมมอง 1.3Kปีที่แล้ว
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 2.5Kปีที่แล้ว
FIJI (ImageJ): Image Enhancement with CLAHE [Contrast Limited Adaptive Histogram Equalization]
FIJI (ImageJ): Region Growing Segmentation [Level Sets]
มุมมอง 1.2Kปีที่แล้ว
FIJI (ImageJ): Region Growing Segmentation [Level Sets]
FIJI (ImageJ): Using TrackMate to Segment z Stacks via StarDist
มุมมอง 2.2Kปีที่แล้ว
FIJI (ImageJ): Using TrackMate to Segment z Stacks via StarDist
FIJI (ImageJ): Geodesic Distance Maps [Measuring Distance Between 2 Points]
มุมมอง 1.8Kปีที่แล้ว
FIJI (ImageJ): Geodesic Distance Maps [Measuring Distance Between 2 Points]
FIJI (ImageJ): Estimation of Width Using Local Thickness
มุมมอง 3.9Kปีที่แล้ว
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 2Kปีที่แล้ว
FIJI (ImageJ): Labeling Connected Components and Regions
FIJI (ImageJ): Semi-Auto Tracing & Analysis of 3D Microscopy Images with BigTrace
มุมมอง 1.3Kปีที่แล้ว
FIJI (ImageJ): Semi-Auto Tracing & Analysis of 3D Microscopy Images with BigTrace
How to do caliberation for nuclear morphometry
Thank you, this is helpful!
Do you know how to extract the average thickness with standard deviation? Much appreciate!
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.
Hi. Thanks for a great video tutorial. However, I am struggling to export data of multiple closed curves drawn in 1 image. Every time I save the data, it saves it only for Curve1. I want to save it for all the curves I draw in the image. Could you please help out? Thanks! :)
Hi @KritiAttri. On the right side of the Kappa console, you have to click on Curves and then select the curves you want to get their data exported.
Thank you for your sharing. I have watched your 3D Image Deconvolution video. However, in that video, only one channel was applied for the deconvolution. In this video, two channels are involved. How should the deconvolution be done on multi-channeled 3D images? Could you give us some suggestions?
@@peterlkk Split the channels and run deconvolution (and psf) on both channels individually.
Thanks for the great tutorials as always. I have a question, does curvature have a color mapping tool like local thickness?
Hi @jd9611. I don't believe Kappa has that feature.
I can not tell if the source images were collected at arbitrary intervals, or if you used a stepper motor to get equal intervals. Are equal intervals necessary, or is the software able to just use the most focused pixels without knowledge of their z-position?
Hi @tritoniadiomedea. The stacks used in this video were acquired as transmitted light images in a confocal microscope, so step size was constant. However, if images were acquired at various intervals (manual focus adjustment), EDF would still be useful.
I have a problem with my saving of plot data, it is not saving my csv z axis profile, only if I run the code several times I can see half or less of the overall data
and adding "wait" steps doesn't work
@kevinn1534 Perhaps there’s something missing in your code.
@@johanna.m.dela-cruz thanks for your reply... can I show it to you? I don't think is missing something, I literally use the macro recorder and I verify it.
@kevinn1534 you can email me. I’m not an expert in macros, but I can take a look at it.
@johanna.m.dela-cruz thanks a lot 🙏 Can you share me your email pls
Hi do you have any idea on how to measure the fiber orientation on a 3d-z-Stack?
@@sriti_hikari You can try Directionality or OrientationJ. My tutorial is here: th-cam.com/video/tN0bEVsumJc/w-d-xo.htmlsi=vxeAMMU906Wsts0z
@@johanna.m.dela-cruz Hi thank you for your help- this will only give the orientation in the x-y-plane right? so the direction in z is not considered?
@@sriti_hikari Since each image in a z-stack is an optical section of your sample, fiber orientation shows the angle per slice. If you do a maximum projection of your z stack and then run the plugin, the orientation is based on the xy plane.
Your Videos are excellent, I have done a bit of quantitative Image analysis, and I wish I had them back in the day. Many thanks for the effort you put into them.
It’s heartwarming to receive your positive feedback. Thanks for your support.
How can I make track mate for time lapse photos with cyanobacteria please? Thank you very much
@@usercvzu1256 You will first need to make sure you have a single file containing a sequence of your images. If you have several photos in a folder (File - Import - Image Sequence).
hi..Thank you for the video. I was wondering if its possible to get only the 3D mask from these z stack. Like I just want the 3D mask from my 3D stack of images. Thank you
@@MDIqbalHossain-d8v hi! You can convert the label image stack into a binary stack by thresholding. Use a minimum threshold of 1.
hello. I have a question.would you please help me?I want to count the number of grafts inside the plates with the Fiji (filament detector). How can I do that .(can i have your email address ,I want to send photos)
Hi Zahra. If you go to my channel description, my email address should be there.
@@johanna.m.dela-cruz I can’t find there😅
@@zahraahmadi2234 If you are subscribed to my channel, under my name, you will find the statement "Listen, watch and learn..." click on more and you can view my email address. Sorry, I can't just advertise openly my email address. You would have to be on a laptop/computer (not phone) to see it.
@@johanna.m.dela-cruz I use phone and subscribe your awesome channel ( I don’t access a laptop or computer- would you please share your email address here)
@@johanna.m.dela-cruz I use phone and subscribe your awesome channel ( I don’t access a laptop or computer- would you please share your email address here)
What about if I want to make four quadrants of a circle in ROI and segment them to analyze 4 different area from the intersection of a circle and 2 lines (vert and horz)? Can I do that? I haven't seen anyone do this in ROI yet. Thanks
@m35926 I think you can do this with a grid. It might be a tad more complicated, but check out this video about counting objects in a grid. th-cam.com/video/fPRE8nePFgc/w-d-xo.htmlsi=4EET_DzS8yNJbDoM
Can you create a mask out of that segmentation?
Hi Octavia (@octaviasantisl). A labeled image/stack can be converted into a binary mask by using a low threshold of 1.
I am using the fit circle to create a line is there a way to measure curvature of an ROI?
Hi Xander (@xandermolina5106). I don't really understand what you mean. If you have a circle, the curvature is calculated as the reciprocal of the radius.
Hello. Thank you for your video. Do you have any video that show how to turn images stack into 3D image? And can I do the alignment to get rid of the drift before turning it into 3D?
@@TNTT1234 Hello! Thanks for watching. You can check out these videos for creating a stack from a sequence of images and doing a 3D reconstruction: th-cam.com/video/_D1kbKjZtjk/w-d-xo.htmlsi=qNwIhuYjzaj0KEM- th-cam.com/video/i-Ta4vCRW2s/w-d-xo.htmlsi=pHjihABbx4elO39E You can also try 3D Script: th-cam.com/video/Zcb0hhZsYqU/w-d-xo.htmlsi=ZXyjb9FVpD2wLpR- For image registration, you can do this once you have a stack of images and before 3D rendering.
@@johanna.m.dela-cruz thank you so much. I am appreciated.
It is nice explanation but when I use count mask option the result image I got is blurry type... Nor perfect particles where seen... Is that correct,?? I could not find how to do it. I use gussain filter of 3 and gussian filter 5 . Substract 3-5...
Hi Rupa (@rupachowdhury6164). If you use a larger gaussian blur filter, the resulting image will of course look more blurry. However, when you thrreshold the image from the subtraction and count masks (from Analyze Particles), the mask will just show the segmented objects. If you don't see the objects, change the LUT to glasbey-on-dark. You should be able to see the ROIs in the ROI Manager.
@johanna.m.dela-cru, can we measure the intensity of the fluorescence in a video, like how with time the intensity increases? is there any way to do that in imageJ?
Hi @Luroog. Yes, this can be done. Are your objects moving over time or are the positions stable over time? If they are stable, you can check out this video: th-cam.com/video/ENeCE_iur_o/w-d-xo.htmlsi=N-ppFZJCADbxSwj4
@@johanna.m.dela-cruz my objects are moving over time.
Thank you so much Johanna as always!
Thank you so much!! Your video made it easier for me as someone new to imageJ. I followed through the steps and have 5 channels, after segmenting the cells, I want to find out if the cells our positive for other marker. Is that possible?
Hi Misha (@meesha5883). Thanks for your continued support. If you have your segmented cells added into the 3D ROI Manager, you can select these ROIs and apply them to your other channel, then do your measurements (just like you would on the original channel where the cells were segmented).
@@johanna.m.dela-cruz thank you for responding, I managed to apply the segmentation to another channel but how do I do thresholding for that channel (and add positive label for that marker to positive cells). Another problem is that the segmentation used nuclear stain and I want to dilate the ring of segment ring for each cell so that I can measure the marker that are expressed in the local cell area not just nucleus. I want to output a csv file with cells coordinates and info if they are positive for any of the markers.
@meesha5883 I believe you posted this question in the image.sc forum. For a label image stack, you can use MorphoLibJ. Go to Label > Label Edition. Dilate the objects (as many times as you like), then press done. You can then add the new label stack to the 3D Manager.
Hiii, Johanna! whenever I use Fiji to analyze the particles in my image, I set it to exclude images that are on the edges, but it still considers them. Has the same thing happened to you? Could you help me?
@@PatriciaNerydesiqueira Is your binary image with a white background? It might be that the objects are not really touching the edges of the image since there could be a row of white pixels between the particles and the edges. Try cropping the image and see if there is a difference.
@@johanna.m.dela-cruz Hiiii, Johanna, thanks for the quick response :D the image has a white background when I apply the tresholding, but I soon convert it to binary and the background turns black. but really, what you say about not touching the edges makes sense, but unfortunately there is no way for me to crop image by image, there are too many. and we are developing a macro to automate the process. do you have any other suggestions? *.*
@@PatriciaNerydesiqueira make sure the objects you are trying to measure have a value of 255. The background should be 0.
@@johanna.m.dela-cruz but if the image has already been binarized, is there any way to avoid having 0 and 255?
@PatriciaNerydesiqueira A binary image has 2 values - 0 and 255. You just need to make sure that the objects are 255. Just hover your mouse over an object and check the value displayed in the Fiji status bar.