Year: 2020
Author: Weizhi Qi, Lei Yao, Yunchao Jiang, Na Huang, Heng Guo, Jian Rong, Hui Feng, Wanneng Yang, Lei Xi
Communications in Computational Physics, Vol. 28 (2020), Iss. 2 : pp. 679–690
Abstract
Chlorophyll in leaves is tightly associated with physiological status of plants. Chemical extraction or hyperspectral estimation is the conventional method to estimate the concentration of Chlorophyll in leaves. However, chemical extraction is invasive and time consuming, and hyperspectral method is extremely sensitive to background light. In this paper, we develop a quantitative photoacoustic imaging technique based on a finite-element-based reconstruction algorithm accelerated by a multicore GPU card to image morphological features and derive distribution of Chlorophyll A in rice leaves. The results suggest that this new method holds great potential in various studies of plant physiology.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2017-0248
Communications in Computational Physics, Vol. 28 (2020), Iss. 2 : pp. 679–690
Published online: 2020-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 12