Electrical and Computer Engineering Department, University of California, Los Angeles, California.
Bioengineering Department, University of California, Los Angeles, California.
J Biophotonics. 2019 Mar;12(3):e201800335. doi: 10.1002/jbio.201800335. Epub 2018 Nov 19.
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.
体全息显微镜由于使用窄带照明光源,因此在色彩再现方面存在挑战,这尤其会影响用于临床诊断的染色病理载玻片的成像。在此,提出了一种使用吸收光谱估计的准确彩色体全息显微镜框架。该方法使用在少数几个(例如三到六个)波长处获取和重建的多光谱全息图像,估计样品的吸收光谱,并将其投射到颜色三刺激值上。使用该方法,可以优化波长选择,以便对具有不同组织和染色组合的 25 个病理载玻片样本进行体全息成像,从而显著减少最终重建图像中的颜色误差。该结果可作为各种成像应用的实用指南,特别是可用于校正跨越不同染料和组织类型的病理样本体全息成像中的颜色失真。