Microscopy: Fourier Space (Bo Huang)

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Learn more: www.ibiology.org/talks/fourie...
The Fourier transform is intimately associated with microscopy, since the alternating planes occurring in the microscope (focal plane - back-focal plane, etc.) are related to each other by a function very similar to the Fourier transform. This lectures explains the Fourier transform in terms understandable to non-mathematicians, and explains the relations with microscopy.

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9 июл 2024

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Комментарии : 91

@jackknight1899 4 года назад

10/10, by far the most intuitive and simple Fourier transform explaination applied in image processing

@aatt3209 4 года назад

I cannot believe how amazing this lecturer is to connect the lens and fourier transform, I have learned so much!

@elenadoering3562 5 лет назад

Seriously thank you so much for this. I've been trying to understand FT for days and now it finally clicked!

@AllanMedeiros 5 лет назад

Awesome! Very clear the relationship between focal plane image and Fourier representation! Thank you!

@MdNasirUddinLaskarBD 7 лет назад

Best lecture to understand the signal processing perspective and Fourier transform of image.

@majedkikhia8614 5 лет назад

WoW! This is the best explanation of FFT one can find online! Thanks a lot!

@1point689 3 месяца назад

fourier transfer of fourier himself is such a nerd thing to do lol, love this lecture Thanks!

@Penguinurvideos808 5 лет назад

Extremely useful for understanding the concept of cryo-EM. Thank you!

@qinghuasong2166 4 года назад

Awesome. The best explanation I find these days.

@igorg4129 4 года назад

Colleague, You are great! Thank you so much, I've seen almost hundred of movies, tried to read, nothing helped. Thank you so much. You are really great teacher, please, keep teaching.

@Mojiube 7 лет назад

Thank you very very much! This was an awsome practical explanation of FT I had ever seen.

@alexandrevaliquette3883 8 месяцев назад

Let me guess... this kid learned proper English and proper physic. Congrat, another science hero sharing his knowledge with us!

@nobdan123 3 года назад

This video and the one on Fourier transform by 3blue1brown made my understanding of FFT much clearer. The best explanation. Lots of love and keep up making such content videos!

@user-ef3ej4pq4f 5 лет назад

This is pure gold man, good job!

@waleedtahir230 7 лет назад

This was awesome. Thanks!

@nikitavladimirov5537 3 года назад

Great explanation, very intuitive. A keeper! Thanks!

@CatastrophicNickName 4 года назад

Love it, I have been seeking a simple explanation to kickoff some intuition. Please keep on doing your amazing work :)

@anaxprincessx 4 года назад

Great video! It was extremely informative and helpful. Thank you so much.

@rafshantik 3 года назад

Wow...this lecture helps to visualise the concepts of FT ..such an amazing lecture.

@ghpelectronics3405 2 года назад

Bo you are great! this is the best explanation of this topic I have come across and would absolutely recommend it. Well done!

@hxong4733 3 года назад

Thank you for the intuitive explanation about Fourier transform! (So happy to discover this video omg

@pussiestroker 8 лет назад

Pretty impressed with how much information (a collection of sine waves) can be encoded in a 2d plane via this construction.

@MukulKadel 6 лет назад

The best explanation of fourier transformation.

@thonghchau 4 года назад

Brilliance, thank you.

@petertwiss356 6 лет назад

I agree wow, this IS the best description of 2D Fourier!

@balamuruganrajamanickam1262 7 лет назад

it is really detailed FT explanation. thanks a lot.

@andreavettiger5736 5 лет назад

Great explanation of FT! well done!

@mufcqw 2 года назад

your a king! cant belive this doesn't have 1M views

@chiahungmou8010 3 года назад

Proud of seeing such clear explanation for 2D frequency.

@ElieElKhoury19 3 года назад

Such a great explanation. Thank you very much!

@tes8771 3 года назад

Thank you for the clear explanation!

@lamnguyentrong275 4 года назад

omg, best explanation:)) . i wish you were my professor. clear and simple

@formtwo3017 5 лет назад

this video is golden.

@II-th7bn Год назад

Mind blowing, outstanding way of explaining ❤

@irisobobo 2 года назад

Very nice explanation! Good job!

@ryangeorge346 7 лет назад

very well explained!

@coemgeincraobhach236 3 года назад

fantastic explanation! thanks!

@deebadubbie 7 лет назад

Top class!

@das250250 3 года назад

A thorough understanding of the amazing fourier transform. The F.T in time will become the most poeerful tool in explaing quantum computing and construction fabric of the universe. It has yet to go in terms of its contibution to mankind.

@taherimohsen2000 5 лет назад

Best video in Fourier transform 👍

@aminegourram2736 8 лет назад

Very helpful!

@jedt3d 2 года назад

Very clear and precise explanation of Fourier Transformation so far. Subscribe!

@himalayansalt8385 4 года назад

This is by far the best explanation I’ve found online regarding the frequency domain analysis of 2D signals. Great work!!!!!!!!!

@mophy85 5 лет назад

Really helpful video~ Thanks

@ArtAutumn 18 дней назад

Isn't there a mistake on 9:27? I think the Fourier image should be rotated on 90 degrees, coz in the direction of x there are many freaquences due to sharp steps.

@sharonwolf4019 5 лет назад

Great explanation!

@jairotorregrosa 5 лет назад

It's a magnificent explanation, than you!

@yangpu1043 4 года назад

Very clear concept in physics to connect to maths

@mitchellsteindler 3 года назад

Incredible video

@manepallysrikanth1383 4 года назад

simply awesome sir

@raymondzhao9557 2 года назад

very well explained！

@shreyasgulhane5625 6 лет назад

Simply clever... keep it up...

@tdh5121994 3 года назад

very intuitive!

@peterpan8132 5 лет назад

振幅A可以通过点的亮暗在图中表示，那相位phi是怎么在图中表示的呢？

@lin2jack2 7 лет назад

Thanks it help me understand what is k-space

@sara98habte97 2 года назад

Love this

@dibakarpal2020 2 года назад

💯/💯 Thank you so much sir

@aaryaonlyone1067 6 лет назад

Thank you

@WinstonHo7 6 лет назад

对我所听过的傅里叶变换的最佳解释！

@nishantgoyal6657 2 года назад

Great job

@anshushaw3942 2 года назад

is the fourier plane the same as the back focal plane of a lense?

@CalebDiT 8 лет назад

First of all, this is a great video! Very insightful. I have a question about x, though. At 12:15, it's said that x=f sin a. Wouldn't this be x=f tan a? For small angles, I understand they'd be approximately equal. Is this done for convenience, then?

@nilamonidaloi3713 6 лет назад

I have the same doubt

@ganeshpandey7134 3 года назад

I am confused there too.

@ERol-du3rd 4 года назад

Good explanation

@ronennenga9471 7 лет назад

Thanks!

@MrGreen_N 3 года назад

Brilliant.

@WilliamAndregg 9 лет назад

Should it be a cosine at 14:27 (bottom equation) instead of a sine?

@mightbin 6 лет назад

i agree with you. if the phase delay is 2 WAVELENGTH, SIN will give a result 0, NOT A INCREASE OF IN TENSITY.

@jianjiejing4394 4 года назад

really thanks

@amalalabarat3579 3 года назад

thank you

@luoboisme 10 месяцев назад

can anyone tell me why x = fsinα. is i miss something?

@sadikachoudhury7210 2 года назад

Great!

@joehsiao6224 2 года назад

I might have missed it. Intensity of a point on the Fourier plane represents amplitude, but which visual feature represents phase?

@shirazkaderuppan3279 Год назад

The phase plot isn't shown in this context. The FT plot you see here represents the magnitude; the phase is not easily interpretable.

@kinsonl9015 7 лет назад

Good job, man

@CL-sj5xl 2 года назад

I had a high expectation at the beginning of this video, but when it goes to Fourier transform into frequency and inverse, I am not learning anything

@taoliu6334 4 года назад

And at 15:25 I dont think it is Fourier Transform, it is Fourier series!! They are related but not the same!

@manudehanoi 6 лет назад

wow at 10:50 he shows the darkfield image !!!!

@drmksu38 2 года назад

thank you very much . you dont have any idea how is that help me

@dimanabdullah8772 7 лет назад

very useful

@nadiaw1512 2 года назад

cool

@taoliu6334 4 года назад

And at 17:36, he said "from previous slide, k would be f times sine of alpha" but previously he wrote "x = f sin(alpha)"...... listen to yourself professor!

@biomedicalscientistmuhammad Год назад

kodous

@peili3936 3 года назад

Despite the good parts, flaws are serious to me. In the beginning, the light propagates from the right to the left, but then the opposite in the slide with the portrait of Fourier. The meaning of sample and back focal plane is made confusing. And the definition of alpha is messed up.

@Tigris_14 3 года назад

9:32

@onescientist8468 4 года назад

K_max has units of 1/length, by definition, and f*NA has units of length, you cant compare both of them, k_max=k*NA

@taoliu6334 4 года назад

And and at the very end, he labeled the "sample" with "point spread function", how on earth could a psf be formed on the sample, instead of the image plane, when you were talking about emission??? Dont be disguised by his seeming confidence, the underlying logic was full of holes!!!

@taoliu6334 4 года назад

I dont like the video especially because he made it very confusing when talking about the image formation with two focal planes. He didnt clearly define k there and I thought it was supposed to be about emission but he made it sound like illumination......