AIMC Topic: Jurkat Cells
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Stability of Jurkat cells during short-term liquid storage analyzed by flow imaging microscopy.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Mar 26, 2025
The viability of cell-based medicinal products (CBMPs) is a critical quality attribute and must be assessed throughout the product lifecycle to contribute to a safe and potent drug product. In this study, we investigated the impact of short-term liqu...
An integrated microflow cytometry platform with artificial intelligence capabilities for point-of-care cellular phenotype analysis.
Biosensors & bioelectronics
Dec 23, 2024
The EZ DEVICE is an integrated fluorescence microflow cytometer designed for automated cell phenotyping and enumeration using artificial intelligence (AI). The platform consists of a laser diode, optical filter, objective lens, CMOS image sensor, and...
Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Nov 5, 2024
Sorting specific cells from heterogeneous samples is important for research and clinical applications. In this work, a novel label-free cell sorting method is presented that integrates deep learning image recognition with microfluidic manipulation to...
Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning.
Journal of pharmaceutical sciences
May 6, 2024
Cell-based medicinal products (CBMPs) are a growing class of therapeutics that promise new treatments for complex and rare diseases. Given the inherent complexity of the whole human cells comprising CBMPs, there is a need for robust and fast analytic...
Time-resolved in vivo ubiquitinome profiling by DIA-MS reveals USP7 targets on a proteome-wide scale.
Nature communications
Sep 13, 2021
Mass spectrometry (MS)-based ubiquitinomics provides system-level understanding of ubiquitin signaling. Here we present a scalable workflow for deep and precise in vivo ubiquitinome profiling, coupling an improved sample preparation protocol with dat...
Multifunctional luminescent immuno-magnetic nanoparticles: toward fast, efficient, cell-friendly capture and recovery of circulating tumor cells.
Journal of materials chemistry. B
Dec 19, 2018
Highly efficient isolation and recovery of viable circulating tumor cells (CTCs) from the blood of patients is an important precondition to address the current dilemma of insufficient CTC studies, and can promote the development of individualized ant...
Reconstructing cell cycle and disease progression using deep learning.
Nature communications
Sep 6, 2017
We show that deep convolutional neural networks combined with nonlinear dimension reduction enable reconstructing biological processes based on raw image data. We demonstrate this by reconstructing the cell cycle of Jurkat cells and disease progressi...
An open-source solution for advanced imaging flow cytometry data analysis using machine learning.
Methods (San Diego, Calif.)
Sep 2, 2016
Imaging flow cytometry (IFC) enables the high throughput collection of morphological and spatial information from hundreds of thousands of single cells. This high content, information rich image data can in theory resolve important biological differe...
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