Lin Li

1 week ago | chemistry-europe.onlinelibrary.wiley.com | Changqing Ye |Lin Li |Jin Wang |Jie Jenny Zou

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Jan 16, 2025 | biorxiv.org | Lin Li |Lamis Yehia |Haider Mahdi |Gideon Idumah

AbstractModifiers of immune checkpoint inhibitor (ICI) responses in cancer patients are complex and remain poorly characterized, especially in gynecologic cancers. In this study, we explored fluxomic biomarkers that differentiate responders from non-responders to ICIs in a series of 49 patients with gynecologic cancers, including ovarian, cervical, and endometrial cancers.

Jan 15, 2025 | nature.com | Hua Bai |Guangyu Wang |Cameron J. Nowell |Nicolas H Voelcker |Bo Peng |Lin Li

AbstractMitochondrial morphology and function are intrinsically linked, indicating the opportunity to predict functions by analyzing morphological features in live-cell imaging. Herein, we introduce MoDL, a deep learning algorithm for mitochondrial image segmentation and function prediction. Trained on a dataset of 20,000 manually labeled mitochondria from super-resolution (SR) images, MoDL achieves superior segmentation accuracy, enabling comprehensive morphological analysis.

Jan 13, 2025 | mdpi.com | Lin Li |Zhixin Jin |Junji Li |Zelin Zhang

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Jan 13, 2025 | advanced.onlinelibrary.wiley.com | Yin Zhou |Lin Li |Junhao Zhang |Jialuo Cheng

1 Introduction The emergence of optical analog computing has paved the way for new avenues to extract image information swiftly and effectively.[1-3] Edge detection is pivotal in fields like machine vision, biomedical imaging, and industrial inspection.[4] Traditional edge detection heavily relies on computationally intensive digital processing, leading to time and energy inefficiencies.[5, 6] With the advent of optical analog computing, characterized by high-speed operations and low energy...