Johanna M. Dela Cruz
Johanna M. Dela Cruz
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FIJI (ImageJ): Pseudocolor LUTs and the Channels Tool [LUTs, Inverting LUTs & more LUTs]
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 as composite images. This tutorial introduces white background or inverting LUTs and other LUTs in addition to the built-in color maps in Fiji.
To install LUTs in Fiji, you can add the LUT update site or download the LUTs as a zip file and place them in the LUT directory. For this demo, I added the KTZ-LUTs (or the NeuroCyto LUTs) and JDM-LUTs update sites.
The BioVoxxel Figure tools can be installed in Fiji via its own update site.
Original Image credits (LUTs modified for tutorial):
Margaret I. Davis (2011) CIL:16244, Mus musculus, pyramidal cell, hippocampal granule cell. CIL. Dataset. doi.org/doi:10.7295/W9CIL16244
Arielle Johnson, Margaret Frank lab, School of Integrative Plant Science,
Cornell University, USA
SUBSCRIBE to have first access to new video tutorials: www.youtube.com/@johanna.m.dela-cruz
Переглядів: 315

Відео

Measuring Protein Expression and Cellular Fluorescence [Mean Gray Value vs Integrated Density]
Переглядів 9202 місяці тому
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
Переглядів 2,2 тис.4 місяці тому
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
Переглядів 7566 місяців тому
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
Переглядів 1,4 тис.8 місяців тому
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
Переглядів 2,9 тис.9 місяців тому
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]
Переглядів 6189 місяців тому
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]
Переглядів 56810 місяців тому
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]
Переглядів 2,1 тис.10 місяців тому
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: ua-cam.com/video/FrhUq2Tk1mk/v-deo.htmlsi=swSDfUpPa7dGDUTs ua-cam.com/video/onY0KJBGK6o/v-deo.htmlsi=SLbjL6ulJ...
FIJI (ImageJ): Bone Analysis with BoneJ2 [Trabecular Bone]
Переглядів 2,3 тис.10 місяців тому
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]
Переглядів 94511 місяців тому
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: ua-cam.com/video/E_Xlzh_L_C...
FIJI (ImageJ): Image Manipulation, Visualization and Figure Generation Made Easy
Переглядів 1,8 тис.11 місяців тому
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
Переглядів 703Рік тому
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
Переглядів 892Рік тому
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: Cell Detection
Переглядів 1,5 тис.Рік тому
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: ROIs and Manual Annotations
Переглядів 590Рік тому
QuPath: ROIs and Manual Annotations
QuPath: Visualization
Переглядів 341Рік тому
QuPath: Visualization
FIJI (ImageJ): Automating Counting of Foci in Nuclei
Переглядів 3,6 тис.Рік тому
FIJI (ImageJ): Automating Counting of Foci in Nuclei
QuPath: Creating a Project
Переглядів 763Рік тому
QuPath: Creating a Project
FIJI (ImageJ): Ridge Detection [Measuring Line Width & Length]
Переглядів 2,7 тис.Рік тому
FIJI (ImageJ): Ridge Detection [Measuring Line Width & Length]
FIJI (ImageJ): Segmentation - Binary Image vs Multi-Label Image vs Multi-Class Image
Переглядів 1,3 тис.Рік тому
FIJI (ImageJ): Segmentation - Binary Image vs Multi-Label Image vs Multi-Class Image
FIJI (ImageJ): Image Enhancement with CLAHE [Contrast Limited Adaptive Histogram Equalization]
Переглядів 2,4 тис.Рік тому
FIJI (ImageJ): Image Enhancement with CLAHE [Contrast Limited Adaptive Histogram Equalization]
FIJI (ImageJ): Region Growing Segmentation [Level Sets]
Переглядів 1,2 тис.Рік тому
FIJI (ImageJ): Region Growing Segmentation [Level Sets]
FIJI (ImageJ): Using TrackMate to Segment z Stacks via StarDist
Переглядів 2,2 тис.Рік тому
FIJI (ImageJ): Using TrackMate to Segment z Stacks via StarDist
FIJI (ImageJ): Geodesic Distance Maps [Measuring Distance Between 2 Points]
Переглядів 1,7 тис.Рік тому
FIJI (ImageJ): Geodesic Distance Maps [Measuring Distance Between 2 Points]
FIJI (ImageJ): Estimation of Width Using Local Thickness
Переглядів 3,8 тис.Рік тому
FIJI (ImageJ): Estimation of Width Using Local Thickness
FIJI (ImageJ): Morphology & Network Analysis of Mitochondria
Переглядів 7 тис.Рік тому
FIJI (ImageJ): Morphology & Network Analysis of Mitochondria
FIJI (ImageJ): Labeling Connected Components and Regions
Переглядів 1,9 тис.Рік тому
FIJI (ImageJ): Labeling Connected Components and Regions
FIJI (ImageJ): Semi-Auto Tracing & Analysis of 3D Microscopy Images with BigTrace
Переглядів 1,3 тис.Рік тому
FIJI (ImageJ): Semi-Auto Tracing & Analysis of 3D Microscopy Images with BigTrace
FIJI (ImageJ): Semi-Automatic Stitching with MosaicJ (2023 version)
Переглядів 1,9 тис.Рік тому
FIJI (ImageJ): Semi-Automatic Stitching with MosaicJ (2023 version)

КОМЕНТАРІ

  • @BCBNarjis
    @BCBNarjis 13 годин тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 9 годин тому

      Hi @BCBNarjis. How big are your images? What type are they (2D, 3D, 4D)? Are you using Windows or do you have a Mac?

    • @BCBNarjis
      @BCBNarjis 7 годин тому

      @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.

  • @putusixtinadewandari4043
    @putusixtinadewandari4043 15 годин тому

    hi, i want to ask, how to make multiple circle analysis in one image?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 9 годин тому

      Hi @putusixtinadewandari4043. Do you mean your image is made up of several circular objects? Have you tried thresholding?

    • @putusixtinadewandari4043
      @putusixtinadewandari4043 Годину тому

      @johanna.m.dela-cruz not yet, how to do it? can you explain, please🙏

  • @Dr_Shanin_Rouhi_1989
    @Dr_Shanin_Rouhi_1989 7 днів тому

    good luck

  • @sheliangwang6105
    @sheliangwang6105 11 днів тому

    @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. "

  • @lokiiiii3333
    @lokiiiii3333 11 днів тому

    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

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 11 днів тому

      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.

    • @lokiiiii3333
      @lokiiiii3333 10 днів тому

      @@johanna.m.dela-cruz thanks for the reply! what i meant was to merge 5 diff. images into one.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 10 днів тому

      @ 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.

  • @grudule8498
    @grudule8498 12 днів тому

    Thanks a lot !!

  • @VaishnaviK-j5j
    @VaishnaviK-j5j 16 днів тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 16 днів тому

      @@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.

    • @VaishnaviK-j5j
      @VaishnaviK-j5j 15 днів тому

      @@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:')

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 15 днів тому

      @@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.

  • @simoneceron1915
    @simoneceron1915 19 днів тому

    Hi my program freezes when opening the stl file Any suggestions?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 18 днів тому

      Hi @simoneceron1915. Perhaps the experts in the image.sc forum might be able to help with this: forum.image.sc/.

  • @evanh1332
    @evanh1332 20 днів тому

    Great video. It was very helpful for understanding the MorphoLibJ toolset and workflow. Are you aware of any way to provide quantification data?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 19 днів тому

      Hello @evanh1132. Thanks for watching. MorphoLibJ also has analysis tools. You can check out some of these tools here: ua-cam.com/video/YxCacx917tg/v-deo.htmlsi=Rh3OIxa8B4M-f8Pf

  • @sanyamjain4210
    @sanyamjain4210 21 день тому

    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?>

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 21 день тому

      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.

  • @SoleneVacher
    @SoleneVacher 27 днів тому

    Thank you so much ! You made me understand 6 hours of class in 2 videos !

  • @yanzheliu9092
    @yanzheliu9092 28 днів тому

    Many thanks!!!!!💯

  • @Patrick-bv7jp
    @Patrick-bv7jp 28 днів тому

    very helpful tutorial!

  • @acooper6521
    @acooper6521 29 днів тому

    This is awesome. Thank you for this video. Do you know if Diana allows for analysis of time-lapse images?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 29 днів тому

      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.

  • @spanishflea634
    @spanishflea634 Місяць тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      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.

  • @shruthib8176
    @shruthib8176 Місяць тому

    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.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      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.

    • @shruthib8176
      @shruthib8176 Місяць тому

      @@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.

  • @annisadwilestari4470
    @annisadwilestari4470 Місяць тому

    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.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      @@annisadwilestari4470 thanks for supporting my channel. I could try to do a tutorial like you suggested…I just need an image to work with.

    • @annisadwilestari4470
      @annisadwilestari4470 Місяць тому

      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

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      @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.

    • @annisadwilestari4470
      @annisadwilestari4470 Місяць тому

      @@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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      @@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).

  • @oliviapietrobon5225
    @oliviapietrobon5225 Місяць тому

    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!

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      Thank you Olivia (@oliviapietrobon5225) for your continued support. What type of measurements do you want to do on your IHC images?

    • @oliviapietrobon5225
      @oliviapietrobon5225 Місяць тому

      @@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!

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      @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.

    • @oliviapietrobon5225
      @oliviapietrobon5225 Місяць тому

      @@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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz Місяць тому

      @@oliviapietrobon5225 yes, it's an avaerage.

  • @valdenilsonfelipe2246
    @valdenilsonfelipe2246 Місяць тому

    very good

  • @acufssdz12
    @acufssdz12 2 місяці тому

    Stop using this disgusting music, you piece of shit. Just talk over it. Your tutorials would be better if you talked.

  • @Lam-m3l
    @Lam-m3l 2 місяці тому

    Thanks for very good tutorial. Can you share the used dataset?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      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.

    • @Lam-m3l
      @Lam-m3l 2 місяці тому

      @@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.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      @Lam-m3l You’re right…that was a z-stack of microglia.

  • @KritiAttri
    @KritiAttri 2 місяці тому

    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! :)

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      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.

  • @peterlkk
    @peterlkk 2 місяці тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      @@peterlkk Split the channels and run deconvolution (and psf) on both channels individually.

  • @jd9611
    @jd9611 2 місяці тому

    Thanks for the great tutorials as always. I have a question, does curvature have a color mapping tool like local thickness?

  • @tritoniadiomedea
    @tritoniadiomedea 2 місяці тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      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.

  • @kevinn1534
    @kevinn1534 2 місяці тому

    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

    • @kevinn1534
      @kevinn1534 2 місяці тому

      and adding "wait" steps doesn't work

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      @kevinn1534 Perhaps there’s something missing in your code.

    • @kevinn1534
      @kevinn1534 2 місяці тому

      @@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.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      @kevinn1534 you can email me. I’m not an expert in macros, but I can take a look at it.

    • @kevinn1534
      @kevinn1534 2 місяці тому

      @johanna.m.dela-cruz thanks a lot 🙏 Can you share me your email pls

  • @sriti_hikari
    @sriti_hikari 2 місяці тому

    Hi do you have any idea on how to measure the fiber orientation on a 3d-z-Stack?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      @@sriti_hikari You can try Directionality or OrientationJ. My tutorial is here: ua-cam.com/video/tN0bEVsumJc/v-deo.htmlsi=vxeAMMU906Wsts0z

    • @sriti_hikari
      @sriti_hikari 2 місяці тому

      @@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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      @@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.

  • @richterdavidoliver7782
    @richterdavidoliver7782 2 місяці тому

    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.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      It’s heartwarming to receive your positive feedback. Thanks for your support.

  • @usercvzu1256
    @usercvzu1256 2 місяці тому

    How can I make track mate for time lapse photos with cyanobacteria please? Thank you very much

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 2 місяці тому

      @@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).

  • @MDIqbalHossain-d8v
    @MDIqbalHossain-d8v 3 місяці тому

    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

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@MDIqbalHossain-d8v hi! You can convert the label image stack into a binary stack by thresholding. Use a minimum threshold of 1.

  • @zahraahmadi2234
    @zahraahmadi2234 3 місяці тому

    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)

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      Hi Zahra. If you go to my channel description, my email address should be there.

    • @zahraahmadi2234
      @zahraahmadi2234 3 місяці тому

      @@johanna.m.dela-cruz I can’t find there😅

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@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.

    • @zahraahmadi2234
      @zahraahmadi2234 3 місяці тому

      @@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)

    • @zahraahmadi2234
      @zahraahmadi2234 3 місяці тому

      @@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)

  • @m35926
    @m35926 3 місяці тому

    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

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @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. ua-cam.com/video/fPRE8nePFgc/v-deo.htmlsi=4EET_DzS8yNJbDoM

  • @octaviasantisl
    @octaviasantisl 3 місяці тому

    Can you create a mask out of that segmentation?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      Hi Octavia (@octaviasantisl). A labeled image/stack can be converted into a binary mask by using a low threshold of 1.

  • @xandermolina5106
    @xandermolina5106 3 місяці тому

    I am using the fit circle to create a line is there a way to measure curvature of an ROI?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      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.

  • @TNTT1234
    @TNTT1234 3 місяці тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@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: ua-cam.com/video/_D1kbKjZtjk/v-deo.htmlsi=qNwIhuYjzaj0KEM- ua-cam.com/video/i-Ta4vCRW2s/v-deo.htmlsi=pHjihABbx4elO39E You can also try 3D Script: ua-cam.com/video/Zcb0hhZsYqU/v-deo.htmlsi=ZXyjb9FVpD2wLpR- For image registration, you can do this once you have a stack of images and before 3D rendering.

    • @TNTT1234
      @TNTT1234 3 місяці тому

      @@johanna.m.dela-cruz thank you so much. I am appreciated.

  • @rupachowdhury6164
    @rupachowdhury6164 3 місяці тому

    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...

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      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.

  • @Luroog
    @Luroog 3 місяці тому

    @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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      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: ua-cam.com/video/ENeCE_iur_o/v-deo.htmlsi=N-ppFZJCADbxSwj4

    • @Luroog
      @Luroog 2 місяці тому

      @@johanna.m.dela-cruz my objects are moving over time.

  • @YASHENGGAO
    @YASHENGGAO 3 місяці тому

    Thank you so much Johanna as always!

  • @meesha5883
    @meesha5883 3 місяці тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      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).

    • @meesha5883
      @meesha5883 3 місяці тому

      @@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.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @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.

  • @PatriciaNerydesiqueira
    @PatriciaNerydesiqueira 3 місяці тому

    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?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@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.

    • @PatriciaNerydesiqueira
      @PatriciaNerydesiqueira 3 місяці тому

      @@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? *.*

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@PatriciaNerydesiqueira make sure the objects you are trying to measure have a value of 255. The background should be 0.

    • @PatriciaNerydesiqueira
      @PatriciaNerydesiqueira 3 місяці тому

      @@johanna.m.dela-cruz but if the image has already been binarized, is there any way to avoid having 0 and 255?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @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.

  • @HuegeleIndahB
    @HuegeleIndahB 3 місяці тому

    This is exactly what I needed! Thank you so much!

  • @jessyhell3541
    @jessyhell3541 3 місяці тому

    Oi Johanna, tudo bem? O meu problema é que a extensão do Wound healing size não está instalando. Sempre que tento de acordo com a descrição do seu vídeo, aparece a mensagem: "There are no images open in line 5 Var width = [getWidth];

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      Hola @jessyhell3541. Sorry I don't speak Spanish. You need to have an image open first before running the tool.

  • @arpitadutta6737
    @arpitadutta6737 3 місяці тому

    Hey I'm trying to measure the mitochondrial length in the same way. Although I can clearly see the difference in length between my control and test sample, still upon measurement the difference is not reflected. How do I manage that

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      Hello Arpita. Are you doing analysis on a per-cell or per-mito basis? If you want results for each mitochondrion in each image, you will need per-mito calculation to identify mitochondrial sub-populations. Per-cell basis should give normalized values rather than raw totals.

    • @arpitadutta6737
      @arpitadutta6737 3 місяці тому

      @@johanna.m.dela-cruz I did both. In the control vs test I can see the changes, but when measuring the mean length or length/mito i didn't see any changes My another concern is also that if I change thresholding parameters in control or in test ami I not making the data biassed?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@arpitadutta6737 The thresholding strategy of the plugin involves a local or adaptive thresholding algorithm that requires empirical determination of its settings. This means that finding optimal settings for thresholding values is largely based on your own observations. You will have to determine which thresholding algorithm to use based on your own judgement....Quantification will change based on the block size and C-values you use. S0, whatever method and parameters you choose will have to be applied to all your images (assuming they were acquired using the same settings).

    • @arpitadutta6737
      @arpitadutta6737 3 місяці тому

      @@johanna.m.dela-cruz heya. I tried to put adaptive threshold, changing the c value to 1 also didn't show any change, also I changed the block size into 0.25 from 1.125; that is the default. Still the thresholded image does not reciprocate to the original.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@arpitadutta6737 Thresholding is always a challenge especially with complex images. I don’t know how your actual images look like, but you may want to try pre-processing them before using the plugin. Are your images 2D or are they z stacks? Some complex images might need deep learning algorithms for more accurate segmentation.

  • @melaniabica-popi4279
    @melaniabica-popi4279 3 місяці тому

    Your channel is so inspiring and educational! Thank you for making such a great job! I would like to ask if I have this type of filaments inside the cells, is it possible to define specific cells with the filaments detected inside and then to measure the particularities of the filaments in each cell? Thank you again!

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      Hi Melania (@melaniabica-popi4279). Thank you for supporting my channel. With the right parameters and as long as the filaments are clear enough, I would think Ridge Detection will be able to measure these. You might have to do some pre-processing to get them to be more visible.

  • @pacmorgado3443
    @pacmorgado3443 3 місяці тому

    Thank you very much for the video. Sorry, I was reading the manual and in one part it says: "...for our deconvolved 3D stacks of beta-cell mitochondria, a block size of 1.15 to 1.25 microns and a C-value of 10 or 11 is often found to be ideal" I treated these values ​​in deconvolved photos of mitochondria from HCT-116 cells, I have the impression that this setting leads to the elimination of part of the network, increasing the perception of network fragmentation. This seems to be resolved if I increase the block size (Ex: 2.50 microns). My question is, is there a valid method to define an appropriate "block size" in Threshold Optimize? Or it's trial and error.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @@pacmorgado3443 it varies depending on the image. Your acquisition parameters may have been different from what the manual suggests. It usually is trial and error to get the “perceived” best block size. Thanks for supporting my channel.

  • @rikasilamdeen
    @rikasilamdeen 3 місяці тому

    Could you please clarify what Plot results are and how they work?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      @rikasilamdeen, On Trainable Weka Segmentation, the Plot result button generates a model performance chart (i.e. the ROC, precision/recall, etc. curves) or graphical plot based on the training data.These curves show the performance of the classifier based on the different thresholds that can be applied to the probability maps.

  • @simonediana1958
    @simonediana1958 3 місяці тому

    Hi Johanna, good video. For the next exam we have to prepare a presentation on a specific ImageJ Plug-in. I chose levan. what do you think about it?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 3 місяці тому

      Hi @simonediana1958. Thanks for watching. I have not tried the Levan plugin, unfortuantely. I'm sure it serves its purpose in terms of image analysis. Good luck on your presentation.

    • @simonediana1958
      @simonediana1958 3 місяці тому

      @@johanna.m.dela-cruz thank you!

  • @taystevens6009
    @taystevens6009 4 місяці тому

    You are a true hero, may you live a blessed and fruitful life!!

  • @dr.sandeshkamdi4601
    @dr.sandeshkamdi4601 4 місяці тому

    I have cFOS and GAD cells to calculate the overlap between them. So % overlap would be Overlap area/ area of GAD or cFOS? what should be the formula?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz 4 місяці тому

      Hi @dr.sandeshkamdi4601. Yes, % overlap can be computed from the overlap area normalized to the area of either one of your objects (GAD or cFOS). Note, however, that the %overlap is an overall value. If you want to get individual overlap percentages, you can try DiAna (ua-cam.com/video/CBwWk7wP2kQ/v-deo.htmlsi=BOS8bozq90Gl4xAo).

  • @dr.sandeshkamdi4601
    @dr.sandeshkamdi4601 4 місяці тому

    Ji Johana, Thanks for the tutorial. The interpretation part is missing to calculate the % overlap. Please add that part.