Spatial Immunometabolism: Integrating Technologies to Decode Cellular Metabolism in Tissues. [PDF]
This review highlights recent advances that enable spatially resolved analysis of immunometabolism within tissue microenvironments. Integrating mass spectrometry imaging, vibrational microscopy, and spatial omics reveals how metabolic organization shapes immune function in cancer and other pathologies.
Hartmann FJ.
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Characterizing transition-metal dichalcogenide thin-films using hyperspectral imaging and machine learning. [PDF]
Shevitski B +6 more
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Multi-scale remote sensing monitoring of aboveground vegetation carbon storage in long-distance expressways. [PDF]
Lian X +7 more
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Genetic enhancement of root, tuber and cereal crops via pangenomics, multi-omics integration and AI-driven prediction. [PDF]
Diakite S +4 more
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Chemical imaging for biological systems: techniques, AI-driven processing, and applications. [PDF]
Cui Y, Zhang Z, Shi Y, Hu Y.
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Facilitated Transport of EGFR Inhibitors Plays an Important Role in Their Cellular Uptake. [PDF]
Wong BS +6 more
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RSPSSL: A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization. [PDF]
Hu J +20 more
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A Joint Network of Edge-Aware and Spectral-Spatial Feature Learning for Hyperspectral Image Classification. [PDF]
Zheng J +6 more
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Advances in the tea plants phenotyping using hyperspectral imaging technology. [PDF]
Luo B, Sun H, Zhang L, Chen F, Wu K.
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A hybrid PCA-ICA and multi-level feature scaling framework with bidirectional LSTM-GRU architecture improves multivariate time series forecasting accuracy. [PDF]
Boddu Y +3 more
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