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. Author manuscript; available in PMC: 2021 Aug 6.
Published in final edited form as: ACS Photonics. 2020 Oct 13;7(11):3023–3034. doi: 10.1021/acsphotonics.0c01051

Figure 6.

Figure 6.

Comparison of two different deep neural networks for imaging TCA samples using DL-HPM. The first network is trained with only MSU samples, and the second network is trained through transfer learning from the original MSU network with a training data set containing TCA samples. Color bar: from left to top to right, represents π, π/2, 0 Rad in the orientation channel. Retardance is represented by the distance from the center of the color bar, ranging from 0 to 0.4.