Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy.
J DelpianoL PizarroC J PeddieMartin L JonesL D GriffinL M CollinsonPublished in: Journal of microscopy (2018)
Integrated array tomography combines fluorescence and electron imaging of ultrathin sections in one microscope, and enables accurate high-resolution correlation of fluorescent proteins to cell organelles and membranes. Large numbers of serial sections can be imaged sequentially to produce aligned volumes from both imaging modalities, thus producing enormous amounts of data that must be handled and processed using novel techniques. Here, we present a scheme for automated detection of fluorescent cells within thin resin sections, which could then be used to drive automated electron image acquisition from target regions via 'smart tracking'. The aim of this work is to aid in optimization of the data acquisition process through automation, freeing the operator to work on other tasks and speeding up the process, while reducing data rates by only acquiring images from regions of interest. This new method is shown to be robust against noise and able to deal with regions of low fluorescence.
Keyphrases
- high resolution
- deep learning
- electron microscopy
- induced apoptosis
- label free
- high throughput
- quantum dots
- electronic health record
- machine learning
- big data
- single molecule
- cell cycle arrest
- living cells
- energy transfer
- mass spectrometry
- single cell
- loop mediated isothermal amplification
- convolutional neural network
- artificial intelligence
- signaling pathway
- endoplasmic reticulum stress
- air pollution
- high speed
- optical coherence tomography
- oxidative stress
- data analysis
- cell therapy
- working memory
- stem cells