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您的检索式：作者名="Junhan Zhao"
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| 1 | High-voltage insulation organic-lnorganic nanocomposites by plasma polymerization 显示文摘 | Wei Yan Zhao Junhan Phung B Toan | 2014 | Materials2014，7，1： | 1 |
| 2 | PhaseFIT:live-organoid phase-fluorescent image transformation via generative AI显示文摘Organoid models have provided a powerful platform for mechanistic investigations into fundamental biological processes involved in the development and function of organs.Despite the potential for image-based phenotypic quantification of organoids,their complex 3D structure,and the time-consuming and labor-intensive nature of immunofluorescent staining present significant challenges.In this work,we developed a virtual painting system,PhaseFIT(phase-fluorescent image transformation)utilizing customized and morphologically rich 2.5D intestinal organoids,which generate virtual fluorescent images for phenotypic quantification via accessible and low-cost organoid phase images.This system is driven by a novel segmentation-informed deep generative model that specializes in segmenting overlap and proximity between objects.The model enables an annotation-free digital transformation from phase-contrast to multi-channel fluorescent images.The virtual painting results of nuclei,secretory cell markers,and stem cells demonstrate that PhaseFIT outperforms the existing deep learning-based stain transformation models by generating fine-grained visual content.We further validated the efficiency and accuracy of PhaseFIT to quantify the impacts of three compounds on crypt formation,cell population,and cell stemness.PhaseFIT is the first deep learning-enabled virtual painting system focused on live organoids,enabling large-scale,informative,and efficient organoid phenotypic quantification.PhaseFIT would enable the use of organoids in high-throughput drug screening applications. | Junhan Zhao Xiyue Wang Junyou Zhu Chijioke Chukwudi Andrew Finebaum Jun Zhang Sen Yang Shijie He Nima Saeidi | 2023 | Light(Science & Applications)2023，12，12： | 0 |
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