Max Magnification of a Object: Does Size Matter?

AI Thread Summary
The discussion centers on the relationship between magnification and the recognizability of an object's image based on photon emission or reflection. As magnification increases, the dispersion of photons leads to a decreased signal-to-noise ratio (SNR), making the image less recognizable. There is no theoretical limit to detection, especially with time-exposure techniques, but detection errors become more probable as SNR decreases. The variation of maximum magnification concerning object size is questioned, particularly whether it follows a linear pattern. Ultimately, the interplay between magnification, photon distribution, and SNR is crucial for image clarity.
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Assuming an object is emitting/reflecting a finite number of photons, then, there is a magnification procedure that will magnify the image of that object so much that the emitted photons will be so dispersed that the image will become unrecognizable. Do we know what this maximum is? How does it vary with respect to the size of the object? Linearly?
 
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As you spread the reflected photons over a larger surface, the image's signal-to-noise ratio (SNR) goes down. There is no theoretical limit at which proper detection can be done, particularly when you consider taking time-exposures of the image, but the probability of detection errors varies with the SNR.

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