Intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging (Conference Presentation)

Yunzhao Wu; Yuqi Zhou; Chun-Jung Huang; Hirofumi Kobayashi; Sheng Yan; Yasuyuki Ozeki; Chia-Wei M. Sun; Cheng Lei; Keisuke Goda

doi:10.1117/12.2544119

11 March 2020 Intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging (Conference Presentation)

Yunzhao Wu, Yuqi Zhou, Chun-Jung Huang, Hirofumi Kobayashi, Sheng Yan, Yasuyuki Ozeki, Chia-Wei M. Sun, Cheng Lei, Keisuke Goda

Author Affiliations +

Proceedings Volume 11249, Quantitative Phase Imaging VI; 112490X (2020) https://doi.org/10.1117/12.2544119
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

The traditional diagnosis of leukemia relies on pathologists to observe and classify cells on bone marrow smears, which is low-throughput, time-consuming, and subject to human bias. To overcome these limitations, we demonstrate intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging (OTS-QPI) that acquires bright-field and quantitative phase images of white blood cells (WBCs) containing leukemia cells with high throughput (15,000 cells/s) for deep-learning-based classification. After trained with 64,000 images, a convolutional neural network (CNN) distinguishes three different types of leukemia cells from WBCs with an accuracy of over 96%. Our method provides new possibilities for high-throughput, label-free, and intelligent leukemia diagnosis.

Conference Presentation

Citation Download Citation

Yunzhao Wu, Yuqi Zhou, Chun-Jung Huang, Hirofumi Kobayashi, Sheng Yan, Yasuyuki Ozeki, Chia-Wei M. Sun, Cheng Lei, and Keisuke Goda "Intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging (Conference Presentation)", Proc. SPIE 11249, Quantitative Phase Imaging VI, 112490X (11 March 2020); https://doi.org/10.1117/12.2544119

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