2022
DOI: 10.1016/j.snb.2022.132020
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Deep learning-assisted Fe3O4 NPs for in-situ visual recognition of multi-dimensional information on latent fingerprints

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Cited by 5 publications
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“…[3][4][5] Among the conventional latent fingerprint development methods including iodine fuming method [6] and chemical method, [7,8] the powder dusting method is currently the most desirable technique. [9][10][11] Based on utilizing electrostatic adsorption between powder and residual fingerprint components including nonpolar lipids, sweat secreted by the sweat pores, and various metabolites, the powder dusting method exhibit superior characteristics such as high efficiency, nondestructive and easy to use. [2] To date, fluorescent powders, considered as the most available reagents to develop latent fingerprint, have an advantage over other reagents in the case of substrates with background fluorescence interference or colored surface.…”
mentioning
confidence: 99%
“…[3][4][5] Among the conventional latent fingerprint development methods including iodine fuming method [6] and chemical method, [7,8] the powder dusting method is currently the most desirable technique. [9][10][11] Based on utilizing electrostatic adsorption between powder and residual fingerprint components including nonpolar lipids, sweat secreted by the sweat pores, and various metabolites, the powder dusting method exhibit superior characteristics such as high efficiency, nondestructive and easy to use. [2] To date, fluorescent powders, considered as the most available reagents to develop latent fingerprint, have an advantage over other reagents in the case of substrates with background fluorescence interference or colored surface.…”
mentioning
confidence: 99%