Chinese Journal of Lasers, Volume. 51, Issue 15, 1507108(2024)
Multi-Dimensional Morphological Characterization and Drug Effects of Tumor Organoids Based on OCT and Machine Learning
Fig. 1. Optical coherence tomography imaging device. (a) A physical image of the OCT prototype, with 1, 2, and 3 representing the interference module, the three-axis mobile module carrying the imaging probe, and the well plate placement area, respectively; (b) a physical image of the whole organoid imaging analyzer
Fig. 2. Organoid imaging results. (a1) 3D OCT imaging; (a2) 2D OCT imaging; (b1) segmentation result of 3D OCT image; (b2) segmentation result of 2D OCT image; (c1)‒(c9) nine single organoids in the organoid cluster
Fig. 3. Frequency distributions of morphological parameters (solid volume, surface area, and cavity volume) for single organoids before and after undersampling
Fig. 4. Clustering analysis results and bright-field microscopy images of organoid clusters in different wells before and after dosing. (a1)‒(d1) Clustering analysis results of organoid clusters in each well before dosing, where the blue channel represents category 1, the green channel represents category 2, and the orange channel represents category 3; (a2)‒(d2) bright-field microscopy images of organoid clusters in each well before dosing; (a3)‒(d3) clustering analysis results of organoid clusters in each well after dosing; (a4)‒(d4) bright-field microscopy images of organoid clusters in each well after dosing
|
|
|
|
|
|
Get Citation
Copy Citation Text
Chuanwei Mao, Shanshan Yang, Xiao Liang, Ling Wang, Ming en Xu. Multi-Dimensional Morphological Characterization and Drug Effects of Tumor Organoids Based on OCT and Machine Learning[J]. Chinese Journal of Lasers, 2024, 51(15): 1507108
Category: Biomedical Optical Imaging
Received: Feb. 19, 2024
Accepted: May. 7, 2024
Published Online: Jun. 28, 2024
The Author Email: Shanshan Yang (yangshan@hdu.edu.cn)
CSTR:32183.14.CJL240595