High-Throughput Automated Microscopy of Circulating Tumor Cells.
Carlos Aguilar-AvelarBrenda Soto-GarcíaDiana Aráiz-HernándezJuan F Yee-de LeónMiguel EsparzaFranco ChacónJesus Rolando Delgado-BalderasMario M AlvarezGrissel Trujillo-de SantiagoLauro S Gómez-GuerraLiza P Velarde-CalvilloAlejandro Abarca-BlancoJ D Wong-CamposPublished in: Scientific reports (2019)
Circulating tumor cells (CTCs) have the potential of becoming the gold standard marker for cancer diagnosis, prognosis and monitoring. However, current methods for its isolation and characterization suffer from equipment variability and human operator error that hinder its widespread use. Here we report the design and construction of a fully automated high-throughput fluorescence microscope that enables the imaging and classification of cancer cells that were labeled by immunostaining procedures. An excellent agreement between our machine vision-based approach and a state-of-the-art microscopy equipment was achieved. Our integral approach provides a path for operator-free and robust analysis of cancer cells as a standard clinical practice.
Keyphrases
- circulating tumor cells
- high throughput
- deep learning
- clinical practice
- single molecule
- high resolution
- endothelial cells
- papillary thyroid
- single cell
- machine learning
- circulating tumor
- squamous cell
- pluripotent stem cells
- induced pluripotent stem cells
- pet imaging
- risk assessment
- optical coherence tomography
- human health
- young adults
- computed tomography
- high speed
- mass spectrometry
- climate change
- cell free