32 - Grain size analysis in Python using a microscope image

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Understanding grains in metal alloys is important for quality control and research. Optical and electron microscopes are used to image well-polished alloy surfaces to capture grain structure. Automating the process of grain analysis not only speeds up QC/research but also yields consistent & repeatable results.

This video tutorial explains the image processing tasks required to generate grain analysis summary and to capture it in a csv file.

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Man, I really appreciate and respect your way of explaining the theory part and the programming part of each step you do. Thank you very much.

alkhashtee
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This is the exact topic I have been searching for a long time

deba_barmn
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I love your work sir. I graduated last year as a bio-technologist, but I loved image analysis. Now following your tutorial I'm going ahead!!

sauravroy
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To be honest, I really like the way you teach. I learned a lot from your informative tutorials. Thanks

hamidcheraghi
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Thnak you very much for this video!
it will help me with guidelines on how to automate image parameters analysis

Also, my 13 yo cousin said he wanted to learn programim. I've done some reseatch into python and by god found your channel and gave it to him - his english is not good but he said he can learn A LOT from your videos!!!
thank you for such high quality content!!!.

felip
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Amazing idea, looking forward to recreate similar code for blasting fragmentation👌

patrickwl
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I just want to say thank you for making these videos. They are fantastic and are really helping with my own research .

ottomorris
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Thank you very much for the video. I really enjoyed both of them(python command and concept).

leilakhalili
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This tutorial was super helpful ! Thanks for a million times

elifozkan
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​ @DigitalSreeni Hi. Thanks for your video. I have the same question that DJ Deka. Why are you using 0.5 um? I know that 1px = 264.58 um. I am using an image SEM with your python code to calculate particle size. My image has a magnification of x50, 000 and its scale bar is 100 nm. Is 0.5 um right for my case? Thanks.

felipemondaca
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Thank you very much for your videos! These are very very helpful!

madscientist
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Hello Dr., thank you for this video. Could you please reply whether some functions exist for 3D grain analysis?

fedormaksimov
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Fantastic work, thank you very very much for what you are doing. I like when you're cheating... good job, hope you continue to make such excellent videos.

mahrouch
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Hello Sir, thank you so much for your video tutorial! It was really helpful. Is there a way to get the coordinates of each particle that we find? Thanks once again

cqllysto
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I want to personally thank you for this wonderful videos... This exactly what I need to up my python and image analysis game. Besides, you side comments makes the whole exercise humanly !!! for example, I can easily relate to looking and typing 😂😂😂

I have two questions

1. for the grain size analysis, do you mind using actual geological samples ( I have many I can share), the sample you're using to demonstrate is to easy to use but geological or soil samples can be very more complex to work with.

2. I started following the videos you recorded for Apeer, then I stumbled on this set of videos (microscopy series), which seems to directly talk to me 😅😂😂😂😂. Which playlist do you recommend among the two? My aim is to gain mastery in image analysis of geological samples.

hammao
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Sir, thank you for clear explanation. But I need to ask for plt.hist command if my image was 24 or 36 bit

furkankalkan
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Hello sir, could you make introduction video about particle tracking (trackpy) using particle flow videos, I could not find am forum where I could request you about this. Thank you,

srikrishnarkapillalamarri
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sir, pls upload the video of analysis of segmented part after u-net segmentation

anjalichandra
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cannot import name 'check_nD' from partially initialized module 'skimage._shared.utils' (most likely due to a circular import) facing this in spyder. plz help

milindvadagave
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Dear Sreeni, very nice tutorial. I have a question. In imageJ (or pevious versions) it is possible to show the grains as countour and also the label inside. In the tutorial you show hou tho see the label_marks as colors. There is any chanse to show them as contur? I try using skimage.contour but then the numbe of contours and the number of label_mask is different. Thanks

paul-tiberiumiclea