| Literature DB >> 30353662 |
Yibo Zhang1,2,3, Tairan Liu1,2,3, Yujia Huang1, Da Teng4, Yinxu Bian1, Yichen Wu1,2,3, Yair Rivenson1,2,3, Alborz Feizi1,2,3,5, Aydogan Ozcan1,2,3,6.
Abstract
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.Keywords: absorbance spectrum estimation; color holography; computational imaging; digital holography
Mesh:
Year: 2018 PMID: 30353662 DOI: 10.1002/jbio.201800335
Source DB: PubMed Journal: J Biophotonics ISSN: 1864-063X Impact factor: 3.207