![](data:image/png;base64,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)
ENG-11
Attaching a 250D or 500D (58mm) Close-up
Lens enables close-up photography.
The magnication will be as follows.
Close-up Lenses
(Sold separately)
8
Close-up Lens 250D: 0.23x - 1.04x
Close-up Lens 500D: 0.11x - 0.66x
MF mode is recommended for accurate focusing.