AIMC Topic: Spheroids, Cellular
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Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.
Science advances
Jul 30, 2025
Combination therapies enhance the therapeutic effect of cancer treatment; however, identifying effective interdependent doses, durations, and sequences of multidrug administration regimens is a time- and labor-intensive task. Here, we integrated mach...
Innovative organ-on-a-chip platforms for exploring tumorigenesis and therapy in head and neck cancer.
Journal of translational medicine
Jul 16, 2025
BACKGROUND: Head and neck cancer (HNC) presents significant research challenges due to the complexity of its tumor microenvironment (TME) and the heterogeneity across different cancer subtypes. Recent advancements in three-dimensional (3D) culture mo...
Optogenetic neural spheroids excite primary neural network.
Journal of neural engineering
Jun 26, 2025
Optical stimulation ofneurons requires prior transfection with light gated ion channels. This additional step brings complexity and requires optimization. Simplification of the process will ease the undertaking of studies on biological neural network...
Proximity adjusted centroid mapping for accurate detection of nuclei in dense 3D cell systems.
Computers in biology and medicine
Dec 17, 2024
In the past decade, deep learning algorithms have surpassed the performance of many conventional image segmentation pipelines. Powerful models are now available for segmenting cells and nuclei in diverse 2D image types, but segmentation in 3D cell sy...
Extending visual range of bacteria with upconversion nanoparticles and constructing NIR-responsive bio-microrobots.
Journal of colloid and interface science
Dec 1, 2024
The motility of bacteria is crucial for navigating competitive environments and is closely linked to physiological activities essential for their survival, such as biofilm development. Precise regulation of bacterial motility enhances our understandi...
Utilizing convolutional neural networks for discriminating cancer and stromal cells in three-dimensional cell culture images with nuclei counterstain.
Journal of biomedical optics
Aug 24, 2024
SIGNIFICANCE: Accurate cell segmentation and classification in three-dimensional (3D) images are vital for studying live cell behavior and drug responses in 3D tissue culture. Evaluating diverse cell populations in 3D cell culture over time necessita...
Deep learning unlocks label-free viability assessment of cancer spheroids in microfluidics.
Lab on a chip
Jun 11, 2024
Despite recent advances in cancer treatment, refining therapeutic agents remains a critical task for oncologists. Precise evaluation of drug effectiveness necessitates the use of 3D cell culture instead of traditional 2D monolayers. Microfluidic plat...
High-throughput cell spheroid production and assembly analysis by microfluidics and deep learning.
SLAS technology
Mar 28, 2023
3D cell culture models are important tools in translational research but have been out of reach for high-throughput screening due to complexity, requirement of large cell numbers and inadequate standardization. Microfluidics and culture model miniatu...
A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation.
Scientific reports
Dec 2, 2021
Machine learning approaches have shown great promise in biology and medicine discovering hidden information to further understand complex biological and pathological processes. In this study, we developed a deep learning-based machine learning algori...
MISpheroID: a knowledgebase and transparency tool for minimum information in spheroid identity.
Nature methods
Nov 1, 2021
Spheroids are three-dimensional cellular models with widespread basic and translational application across academia and industry. However, methodological transparency and guidelines for spheroid research have not yet been established. The MISpheroID ...
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