Cellular-resolution in vivo tomography in turbid tissue through digital aberration correction

被引:0
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作者
En Bo
Xin Ge
Yuemei Luo
Xuan Wu
Si Chen
Haitao Liang
Shufen Chen
Xiaojun Yu
Ping Shum
Jianhua Mo
Nanguang Chen
Linbo Liu
机构
[1] Nanyang Technological University,School of Electrical and Electronic Engineering
[2] Northwestern Polytechnical University,School of Automation
[3] Soochow University,School of Electronics and Information Engineering
[4] National University of Singapore,Department of Biomedical Engineering
[5] Nanyang Technological University,School of Chemical and Biomedical Engineering
来源
PhotoniX | / 1卷
关键词
Turbid tissue; Tomography; Aberration correction; Cellular resolution;
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摘要
Noninvasive tomographic imaging of cellular processes in vivo may provide valuable cytological and histological information for disease diagnosis. However, such strategies are usually hampered by optical aberrations caused by the imaging system and tissue turbidity. State-of-the-art aberration correction methods require that the light signal be phase stable over the full-field data acquisition period, which is difficult to maintain during dynamic cellular processes in vivo. Here we show that any optical aberrations in the path length difference (OPD) domain can be corrected without the phase stability requirement based on maximum intensity assumption. Specifically, we demonstrate a novel optical tomographic technique, termed amplitude division aperture synthesis optical coherence tomography (ADAS-OCT), which corrects aberrations induced by turbid tissues by physical aperture synthesis and simultaneously data acquisition from sub-apertures. Even with just two sub-apertures, ADAS-OCT enabled in vivo visualization of red blood cells in human labial mucosa. We further demonstrated that adding sub-apertures could significantly scale up the aberration correction capability. This technology has the potential to impact a number of clinical areas where noninvasive examinations are preferred, such as blood count and cancers detection.
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