Artificial intelligence-enabled quantitative phase imaging methods for life sciences J Park, B Bai, DH Ryu, T Liu, C Lee, Y Luo, MJ Lee, L Huang, J Shin, ... Nature Methods 20 (11), 1645-1660, 2023 | 40 | 2023 |
Quantification of structural heterogeneity in H&E stained clear cell renal cell carcinoma using refractive index tomography J Park, SJ Shin, J Shin, AJ Lee, M Lee, MJ Lee, G Kim, JE Heo, K Suk lee, ... Biomedical Optics Express 14 (3), 1071-1081, 2023 | 6 | 2023 |
Single-shot refractive index slice imaging using spectrally multiplexed optical transfer function reshaping C Lee, H Hugonnet, J Park, MJ Lee, W Park, YK Park Optics Express 31 (9), 13806-13816, 2023 | 4 | 2023 |
Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution YK Lee, D Ryu, S Kim, J Park, SY Park, D Ryu, H Lee, S Lim, HS Min, ... Scientific Reports 13 (1), 9847, 2023 | 3 | 2023 |
Revealing 3D cancer tissue structures using holotomography and virtual hematoxylin and eosin staining via deep learning J Park, SJ Shin, M Kim, G Kim, H Cho, D Ryu, D Ahn, JE Heo, I Jang, ... bioRxiv, 2023.12. 04.569853, 2023 | 1 | 2023 |
High-level multiplexed virtual immunofluorescence staining using holotomography and deep learning J Park, SJ Shin, G Kim, KS Lee, JE Heo, YK Park Cancer Research 84 (6_Supplement), 7401-7401, 2024 | | 2024 |
Quantification of structural heterogeneity of renal cell carcinoma using refractive index tomography J Park, YK Park, J Shin, M Lee, M Lee, KS Lee Optics and Photonics in medicine and biology 2022, 2022 | | 2022 |