AIMC Topic: Flow Cytometry

Clear Filters Showing 1 to 10 of 204 articles

Enabling multiple cellular enumeration applications of a bioparticle sensing platform using machine learning.

Analytical methods : advancing methods and applications
Cellular surface receptors are commonly used as diagnostic and prognostic biomarkers for many infectious diseases. Benchtop clinical instruments, , flow cytometers and fluorescence microscopes are commonly employed for identification and quantificati...

YTK Display-and-Secrete: Screening for Optimal Protein Secretion Elements in .

ACS synthetic biology
Engineering yeast to secrete target proteins requires searching for optimal combinations of promoters and signal peptides so that genes can be composed that give a high expression and efficient secretion. Most methods for this involve laborious, one-...

Label-free chimeric antigen receptor T-cell expression analysis using neural networks and statistical distribution modeling.

Biochemical and biophysical research communications
Chimeric antigen receptor T (CAR-T)-cell therapy has emerged as a promising treatment for hematologic malignancies. Accurate monitoring of CAR expression levels is essential for optimizing therapeutic efficacy and ensuring patient safety. Conventiona...

Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry.

Scientific reports
Microscopic-Diffraction Imaging Flow Cytometry (MDIFC) is a high-throughput, stain-free technology that captures paired microscopic and diffraction images of cellular events, utilizing machine learning for the classification of cell subpopulations. H...

Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.

Nature communications
Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicating quality control and clinical predictability. Conventional analytical methods relying on labeling or cell lysis are destructive and incompatible with...

Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer.

Nature communications
Investigating the temporal dynamics of gene expression is crucial for understanding gene regulation across various biological processes. Using the Fluorescent Timer protein, the Timer-of-cell-kinetics-and-activity system enables analysis of transcrip...

Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Scientific reports
Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increase the rate of deep molecular response. However, the early diagnosis of CML is challenging due to the absence of clinical symptoms and peripheral blood...

Celluloepidemiology-A paradigm for quantifying infectious disease dynamics on a population level.

Science advances
To complement serology as a tool in public health interventions, we introduced the "celluloepidemiology" paradigm where we leveraged pathogen-specific T cell responses at a population level to advance our epidemiological understanding of infectious d...

Impact of dental pulp cells-derived small extracellular vesicles on the properties and behavior of dental pulp cells: an in-vitro study.

BMC oral health
BACKGROUND: Dental pulp cells-derived small extracellular vesicles (DPCs-sEVs) had shown immunomodulatory, anti-inflammatory, and tissue function restorative abilities. Therefore, DPCs-sEVs should be considered as a promising regenerative tool for de...

B lymphocyte subset-based stratification in primary Sjögren's syndrome: implications for lymphoma risk and personalized treatment.

Clinical rheumatology
OBJECTIVE: This study aimed to perform a detailed stratification analysis of B lymphocyte subsets in patients with primary Sjögren's syndrome (pSS) and to investigate their associations with lymphoma risk, clinical phenotypes, and disease activity.