Elsevier, Medical Image Analysis, Volume 67, January 2021
The enormous social and economic cost of Alzheimer's disease (AD) has driven a number of neuroimaging investigations for early detection and diagnosis. Towards this end, various computational approaches have been applied to longitudinal imaging data in subjects with Mild Cognitive Impairment (MCI), as serial brain imaging could increase sensitivity for detecting changes from baseline, and potentially serve as a diagnostic biomarker for AD. However, current state-of-the-art brain imaging diagnostic methods have limited utility in clinical practice due to the lack of robust predictive power.
Elsevier, TrAC - Trends in Analytical Chemistry, Volume 109, December 2018
This review discusses the identification and quantification of microplastic (MP) using Raman microspectroscopy (RM). It addresses scientists investigating MP in environmental and food samples. We show the benefits and limitations of RM from a technical point of view (sensitivity, smallest particle sizes, speed optimizations, analysis artefacts and background effects) and provide an assessment of the relevance of lab analyses and their interpretation (sample sizes for the analysis, uncertainty of the analysis).