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Accurate color imaging of pathology slides using holography and absorbance spectrum estimation of histochemical stains.

Yibo ZhangTairan LiuYujia HuangDa TengYinxu BianYichen WuYair RivensonAlborz FeiziAydogan Ozcan
Published in: Journal of biophotonics (2018)
Holographic microscopy presents challenges for color reproduction due to the usage of narrow-band illumination sources, which especially impacts the imaging of stained pathology slides for clinical diagnoses. Here, an accurate color holographic microscopy framework using absorbance spectrum estimation is presented. This method uses multispectral holographic images acquired and reconstructed at a small number (e.g., three to six) of wavelengths, estimates the absorbance spectrum of the sample, and projects it onto a color tristimulus. Using this method, the wavelength selection is optimized to holographically image 25 pathology slide samples with different tissue and stain combinations to significantly reduce color errors in the final reconstructed images. The results can be used as a practical guide for various imaging applications and, in particular, to correct color distortions in holographic imaging of pathology samples spanning different dyes and tissue types.
Keyphrases
  • high resolution
  • deep learning
  • optical coherence tomography
  • single molecule
  • emergency department
  • fluorescence imaging
  • high speed
  • machine learning
  • single cell