Physiological Oxygen Causes the Release of Volatile Organic Compounds from Human Pluripotent Stem Cells with Possible Roles in Maintaining Self-Renewal and Pluripotency (2022)
Journal Article
Barreto, S., Al-Zubaidi, M., Dale, T., Worrall, A., Kapacee, Z., Kimber, S., …Rutter, A. (2022). Physiological Oxygen Causes the Release of Volatile Organic Compounds from Human Pluripotent Stem Cells with Possible Roles in Maintaining Self-Renewal and Pluripotency. Preprints, https://doi.org/10.20944/preprints202203.0143.v1

<jats:p>Human pluripotent stem cells (hPSCs) have widespread potential biomedical applications. There is a need for large-scale in vitro production of hPSCs, and optimal culture methods are vital in achieving this. Physiological oxygen (2% O2) improv... Read More about Physiological Oxygen Causes the Release of Volatile Organic Compounds from Human Pluripotent Stem Cells with Possible Roles in Maintaining Self-Renewal and Pluripotency.

Optimisation of sample preparation using glass slides for spectral pathology (2020)
Journal Article
Dowling, L., Roach, P., Rutter, A., Yousef, I., Pillai, S., Latham, D., …Sule-Suso, J. (2020). Optimisation of sample preparation using glass slides for spectral pathology. Applied Spectroscopy, 75(3), 343-350. https://doi.org/10.1177/0003702820945748

The clinical translation of Fourier Transform Infrared (FTIR) microspectroscopy in pathology will require bringing this technique as close as possible to standard practice in pathology departments. An important step is sample preparation for both FTI... Read More about Optimisation of sample preparation using glass slides for spectral pathology.

Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer (2017)
Conference Proceeding
Butcher, J. B., Rutter, A. V., Wootton, A. J., Day, C. R., & Sulé-Suso, J. (2017). Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer. In Advances in Computational Intelligence Systems (183-190). https://doi.org/10.1007/978-3-319-66939-7_15

Lung cancer is a widespread disease and it is well understood that systematic, non-invasive and early detection of this progressive and life-threatening disorder is of vital importance for patient outcomes. In this work we present a convergence of fa... Read More about Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer.