http://confocal-microscopy-list.275.s1.nabble.com/Nyquist-sampling-advice-for-a-short-talk-tp7591495p7591505.html
I really like the way Jeff Lichtman addresses sampling in his lecture of Resolution of a microscope on iBiology.
> On 11 Nov 2020, at 09:30, Straatman, Kees (Dr.) <
[hidden email]> wrote:
>
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> But does this not assume that your objects is in de squares. What if the objects are in between two squares? Dividing by 2 would just result in 4 squares with more or less the same intensity. So, I normally advice to divide by 3.
>
> Best wishes
>
> Kees
>
>
> Dr Ir K.R. Straatman
> Advanced Imaging Facility
>
> University of Leicester
> www.le.ac.uk/advanced-imaging-facility<
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> ________________________________
> From: Confocal Microscopy List <
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> Sent: 10 November 2020 16:42
> To:
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> Subject: Re: Nyquist sampling advice for a short talk
>
> *****
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> GIven that most microscopy has the luxury of being a simpler specific case
> of the Nyquist sampling theorem, I like to simplify it to a discrete model
> using a checkerboard. I first show a grid of squares and ask, "What is the
> smallest feature we can resolve on this grid?" I then show a checkerboard
> pattern next to a grid with all white squares. I point out that in order
> to resolve two objects means to be able to distinguish between two point
> sources and one bigger solid source. Therefore, you need to sample not
> only the peak intensities (your resolution) but also a local minimum
> between them to distinguish a pair of points from a solid object.
> Therefore, you need to sample at 2x your resolution.
>
> The hope here is to give people an intuitive sense of where Nyquist
> sampling theory comes from without delving into more complex issues like
> aliasing.
>
> On Tue, Nov 10, 2020 at 8:26 AM Sara Parker <
[hidden email]>
> wrote:
>
>> *****
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>>
>> Dale,
>>
>> I really like the following applets for demonstrating resolution and
>> sampling in practice, and connecting theory to experimental design.
>>
>>
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>>
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>> Sara Parker
>> Postdoctoral Fellow, Mouneimne Lab
>> (520) 626-3860
>>
[hidden email]
>> Department of Cellular & Molecular Medicine
>> University of Arizona
>>
>
>
> --
> Benjamin E. Smith, Ph. D.
> Imaging Specialist, Vision Science
> University of California, Berkeley
> 195 Life Sciences Addition
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