The use of mobile apps for data manipulation enables vibrational spectroscopy to reach its potential for in situ analysis. Through releasing the requirement for a desktop PC/laptop for data analysis, there could potentially be more scope for the application of vibrational spectroscopy in clinical and potentially dangerous industrial environments. Not to mention the greater flexibility a mobile app would bring to data analysis. The ease of use of a mobile app would mean that typical spectral analysis, or even live spectral monitoring
tasks could be performed from home or while on public transport, without the need for environmentally expensive PC’s. The process of creating these applications has proven that the mobile analysis of spectra is possible and that cloud storage is a viable way to transmit data to a device. Because Dropbox has a freely available software development kit, it was used as the cloud storage provider for this application. However, an alternative web
service could be used, but would require software changes. Future work will include:
•Improving the usability of both applications following feedback,
and increasing the range of Android handsets supported.
•Providing additional data manipulation features e.g. median filtering to remove shot error.
•Creating an online web service to provide cloud storage instead of using Dropbox. As well as providing greater flexibility, this will allow more computationally intensive server-side analysis of spectra, such as pattern analysis and a peak identification service.
The use of mobile apps for data manipulation enables vibrational spectroscopy to reach its potential for in situ analysis. Through releasing the requirement for a desktop PC/laptop for data analysis, there could potentially be more scope for the application of vibrational spectroscopy in clinical and potentially dangerous industrial environments. Not to mention the greater flexibility a mobile app would bring to data analysis. The ease of use of a mobile app would mean that typical spectral analysis, or even live spectral monitoring
tasks could be performed from home or while on public transport, without the need for environmentally expensive PC’s. The process of creating these applications has proven that the mobile analysis of spectra is possible and that cloud storage is a viable way to transmit data to a device. Because Dropbox has a freely available software development kit, it was used as the cloud storage provider for this application. However, an alternative web
service could be used, but would require software changes. Future work will include:
•Improving the usability of both applications following feedback,
and increasing the range of Android handsets supported.
•Providing additional data manipulation features e.g. median filtering to remove shot error.
•Creating an online web service to provide cloud storage instead of using Dropbox. As well as providing greater flexibility, this will allow more computationally intensive server-side analysis of spectra, such as pattern analysis and a peak identification service.
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