Raman imaging to identify microplastics released from toothbrushes: algorithms and particle analysis.Microplastics are small plastic fragments that are of increasing concern due to their potential impacts on the environment and human health.  This study aims to examine the release of microplastics from toothbrushes, using Raman imaging to identify and visualise the plastic debris with an increased signal-noise ratio via hyper-spectrum analysis.  The potential false image originating from the off-focal position for the confocal Raman is overcome using the terrain map to guide the Raman imaging. 
Raman imaging
Raman imaging to identify microplastics released from toothbrushes: algorithms and particle analysis.Microplastics are small plastic fragments that are of increasing concern due to their potential impacts on the environment and human health.  Using algorithms to convert the hyper-spectrum to an image, the plastic can be distinguished from the co-formulated titanium oxide particles that are not uniformly distributed along the plastics. 
algorithms
Raman imaging to identify microplastics released from toothbrushes: algorithms and particle analysis.Microplastics are small plastic fragments that are of increasing concern due to their potential impacts on the environment and human health. 
particle analysis
This study aims to examine the release of microplastics from toothbrushes, using Raman imaging to identify and visualise the plastic debris with an increased signal-noise ratio via hyper-spectrum analysis. 
hyper-spectrum analysis
The potential false image originating from the off-focal position for the confocal Raman is overcome using the terrain map to guide the Raman imaging. 
confocal Raman