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S/TEM and the Fast Fourier Transform (FFT) go together like peanut butter and chocolate. Yet, most of us (myself included) don't fully understand or appreciate exactly what it is we are doing when we compute the FFT of an S/TEM image. In this first video of a two-part sequence (as always, recorded raw, unedited, unfiltered, uncensored, and uncut), I cover the fundamentals and basics of the FFT algorithm while setting the stage for the second video emphasizing the applications of the FFT for S/TEM. Thanks for watching! Please like, subscribe, and share and leave any questions or comments you may have and I will do my best to reply as soon as possible. Video topic requests are always welcome and appreciated; I enjoy making these videos and wish I could make them more frequently, but the demands of my job make it tough to do so; I’m in charge of 3 S/TEMs, 2 dual FIB/SEM systems, and 1 SEM and this keeps me very busy! Connect with me on LinkedIn: / nicholas-rudawski-30414528 Where I work: https://rsc.aux.eng.ufl.edu/ E-mail me directly: [email protected]