| CPC G01N 21/4788 (2013.01) [C12Q 1/06 (2013.01); G01N 21/47 (2013.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G16B 40/00 (2019.02)] | 16 Claims |
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1. An apparatus for providing microorganism information, the apparatus comprising:
a receiving unit configured to receive a plurality of images obtained by photographing in time series an outgoing wave emitted from a sample;
a detecting unit configured to extract a feature of a change over time from the plurality of images obtained in time series;
a learning unit configured to machine-learn classification criteria based on an extracted feature; and
a determining unit configured to classify the type or concentration of a microorganism contained in the sample based on the classification criteria, wherein
each of the plurality of images includes speckle information generated by multiple scattering caused by the microorganism due to a wave entering into the sample,
wherein the learning unit learns the classification criteria by using a convolutional neural network (CNN), and
wherein the learning unit performs a convolution arithmetic by using a convolution kernel having a size smaller than a size of one speckle.
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