‘On the Spot’ Digital Pathology of Breast Cancer Based on Single-Cell Mass Spectrometry Imaging

All-digital histopathology by infrared-optical hybrid microscopy

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Lipidomic study of cell lines reveals differences between breast cancer subtypes

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MALDI-2 for the Enhanced Analysis of N-Linked Glycans by Mass Spectrometry Imaging

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Ether lipid and sphingolipid expression patterns are estrogen receptor-dependently altered in breast cancer cells

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The Function and Mechanism of Lipid Molecules and Their Roles in The Diagnosis and Prognosis of Breast Cancer

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Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

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A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer

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Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

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Digital pathology and artificial intelligence

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High-Performance Molecular Imaging with MALDI Trapped Ion-Mobility Time-of-Flight (timsTOF) Mass Spectrometry

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Cellular resolution in clinical MALDI mass spectrometry imaging: the latest advancements and current challenges

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Automated, parallel mass spectrometry imaging and structural identification of lipids

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Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology

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Fast raster matrix-assisted laser desorption/ionization mass spectrometry imaging of lipids at high lateral resolution

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Change in HER2 status after neoadjuvant chemotherapy and the prognostic impact in patients with primary breast cancer

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Breast Cancer Cell Line Classification and Its Relevance with Breast Tumor Subtyping

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Hormone receptor and HER2 status: The only predictive factors of response to neoadjuvant chemotherapy in breast cancer

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A Machine Learned Classifier That Uses Gene Expression Data to Accurately Predict Estrogen Receptor Status

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Mass spectrometry images acylcarnitines, phosphatidylcholines, and sphingomyelin in MDA-MB-231 breast tumor models

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The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

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