M. Lee

This paper introduces Proxy-ResNeXt-CBAM, a metric learning network for chromosome classification and retrieval in karyotyping, achieving high accuracy and effective clustering of embeddings.

The paper shows that spontaneous polyploids and antimutator clones outcompete each other in mutator yeast cultures, with polyploids dominating in haploid and antimutators in diploid settings.

This study uses SWATH-MS to comprehensively profile plasma extracellular vesicles from glioma patients, identifying potential biomarkers that reflect glioma subtype and aggressiveness.

The paper uses optical diffraction tomography to image and analyze 3D vasculogenesis in vitro without exogenous labeling.

This study examines how clinical competence affects career adaptability in new nurses, finding a positive correlation and identifying specific subcategories that influence adaptability.

The paper identifies microbial mimicry of insulin epitopes in the gut microbiome as a potential cause of type 1 diabetes by showing that transketolase mimotopes trigger immune responses similar to insulin.

This paper introduces a novel method for creating architected hydrogels using entangled microstrands for 3D bioprinting, resulting in improved mechanical properties and cell viability.

This study measures 3-D morphology changes in human red blood cells under localized photothermal effects using gold nanorods and 3D quantitative phase imaging.

The paper uses a hybrid transcriptomic and proteomic approach to identify CD80 and CD86 as markers of recently activated regulatory T cells in human CD4+ T cells.

This paper develops a nanocomposite bioink using dynamic covalent bonds between nanoparticles and polysaccharides to improve bioprinting fidelity and mechanical stability.

This study investigates the role of prolactin receptor signaling in beta-cell function during pregnancy, finding both cell-autonomous and non-cell-autonomous effects on glucose regulation and gene expression.

This study identifies recurrent mutations and copy number variations as key drivers of metastasis in treatment-naive breast cancer using pre-clinical mouse models.

This study uses optical diffraction tomography to observe 3D changes in individual bacteria under antibiotic treatment, quantifying their responses to ampicillin.

The paper identifies sequence features of mixed-charge domains that govern nuclear speckle condensation and function in mRNA processing.

This study characterizes the NF-κB protein in the sponge Amphimedon queenslandica, showing conserved features with vertebrates but distinct regulatory mechanisms.

This study quantifies vector uptake in Plasmodium falciparum and finds non-Poissonian transfection dynamics, with parasites taking up multiple vectors early and unevenly.

This paper introduces a deep learning framework for 3D label-free tracking of immunological synapses using optical diffraction tomography and segmentation.

This paper develops a framework using microsensors, weather models, and machine learning to predict soft fruit yields and phenology with higher accuracy.

This study identifies a seven-miRNA signature from serum exosomal microRNA that accurately diagnoses glioblastoma with perfect accuracy in validation cohorts.

This paper quantifies lipid content in individual microalgal cells using refractive index tomography without chemical extraction.

This study compares nutritive values of forage plants across environments, finding climate influences on digestibility, fiber, lignin, protein, and mineral content, with implications for herbivore ecology and livestock management.

This study measures 3D refractive index and membrane properties of live erythrocytes from Pelophylax nigromaculatus to compare interspecific differences with mammals.

The paper identifies de-differentiated, inflammatory cancer-associated adipocytes in breast cancer and shows that miR-5112 promotes IL6 expression through targeting Cpeb1.