Fig. 10
From: DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM
Illustration of the effects of the cryo-EM image analysis on a zoom-in selected particle region using two different examples from two datasets. a1, b1, c1, d1, e1 original zoom-in particle regions (different shapes) are selected from different micrograph Apoferritin (top-view particle) [27], KLH (top-view) [26], KLH (side-view) [26], Ribosome (irregular shape) [28], and β-galactosidase (complex shape) [29] respectively. a2, b2, b2, e2 normalized single particle image region. a3, b3, c3, d3, e3 single particle region after applying the contrast enhancement correction (CEC). a4, b4, c4, d4, e4 single particle region after applying the histogram equalization. a5, b5, c5, d5, e5 single particle region after applying image resonation with Wiener filtering. a6, b6, c6, d6, e6 single particle region after applying the contrast-limited adaptive histogram equalization. a7, b7, c7, d7, e7 single particle region after applying image guided filtering. a8, b8, c8, d8, e8 single particle region after applying morphological image operation