|
15:15 - 15:45
|
Manuscript ID. 0730
Paper No. 2021-THU-S0602-I001
|
Invited Speaker:
Olivier Soppera
|
2D and 3D Photopatterning of Molecularly Imprinted Polymers (MIP) for Biosensing Applications
Olivier Soppera
|
|
|
15:45 - 16:00
|
Award Candidate (Paper Competition)
Manuscript ID. 0704
Paper No. 2021-THU-S0602-O001
|
| Ying-Ju Chen
|
Dual-color Coded Quantitative Differential Phase Contrast Microscopy with Deep Learning for Time-lapse Imaging
Ying-Ju Chen;Sunil Vyas;Yuan Luo
Quantitative differential phase contrast (qDPC) microscopy provides phase information with asymmetric illumination, which enables label-free imaging. However, typical qDPC microscopy requires twenty-four intensity measurements to reconstruct a single phase image, while motion artifacts and acquisition time are important issues for live cell imaging. We propose dual-color coded qDPC microscopy with patch-wised U-net to minimize required frames. To demonstrate the performance of the system, live cell time-lapse imaging is executed.
 Preview abstract
|
|
|
16:00 - 16:15
|
Award Candidate (Paper Competition)
Manuscript ID. 0529
Paper No. 2021-THU-S0602-O002
|
| CHIA-LUN TSAI
|
Three-dimensional reconstruction of cone-beam X-ray luminescence computed tomography via FBP method
TIEN-AI JI;TIEN-YU WU;Jyh-Cheng Chen;Tse-Ying Liu;CHIA-LUN TSAI;SNOW H. TSENG
X-ray luminescence computed tomography (XLCT) provides new possibility for molecular imaging through X-rays with nano-luminescent particles which can excite visible light. In this article, Filtered Back Projection (FBP) method is employed to reconstruct the optical data of luminescent tomography through visible light at 24 angles in free space. Furthermore, the simultaneous algebraic reconstruction technique (SART) is applied in the reconstruction process as an iterative method. At the end of the article, we will actually reconstruct a tablet-shaped light-emitting prosthesis.
|
|
|
16:15 - 16:30
|
Award Candidate (Paper Competition)
Manuscript ID. 0374
Paper No. 2021-THU-S0602-O003
|
| Nazish Murad
|
Remarkable Performance of Batch-Normalization Layers in Diffuse Optical Imaging
Nazish Murad;Min-Chun Pan
A non-invasive imaging technique, diffuse optical tomography (DOT), quantifies the optical properties of biological tissue. It is ill-posed and ill-conditioned due to the diffusive nature of light propagation in biological tissues. In this study, a 2D convolution neural network is employed to build up an image reconstruction network that tackles the above issues of DOT. To stabilize the distribution of input(radiance) to a given network layer during training, we introduce batch normalization layers to the network which also train our network quicker and more reliably.
|
|
|
16:30 - 16:45
|
Manuscript ID. 0465
Paper No. 2021-THU-S0602-O004
|
| Guan-Yu Zhuo
|
Strategy of enhancing the imaging depth in biological tissues using polarization engineered second harmonic generation microscopy
Ming-Xin Lee;Wei-Hsun Wang;Fu-Jen Kao;Guan-Yu Zhuo
It is desirable to optimize the imaging depth in biomedical imaging, which offers the possibilities of investigating the structural changes from diseases or pathologies hidden at deeper tissue locations. In this work, we qualitatively analyzed the depolarization effect and imaging depth as using different polarization states in second harmonic imaging.
Preview abstract
|
|
|
16:45 - 17:00
|
Manuscript ID. 0285
Paper No. 2021-THU-S0602-O005
|
| Anupama Venugopalan Nair
|
Analysis of Collagen Types I & II at Bone Fracture Healing Tissue Using Polarization-SHG
Anupama Venugopalan Nair;Chi-Hsiang Lien;Chung-Hwan Chen;Shu-Chun Chuang;Yi-Shan Lin;Shean-Jen Chen
Discriminating type I and II collagen is important as several diseases are known to alter the properties of these collagen structures in bone and cartilage. Dual-liquid crystal based polarization-resolved second harmonic (SHG) microscopy is utilized for quantitative characterization of collagen types I and II in fracture healing tissues via the pitch angle analysis according to 18 different polarization-SHG images. Furthermore, data reliability is ensured by using right and left-hand circular polarization imaging centered circular dichroism analysis. This approach presents a promising tool for differentiating collagen types at the molecular scale and for understanding the role of collagen in ECM structure.
|
|