Early Diagnosis of Cancer and Disease
Identification of cancer cells using BioRam
BioRam® provides you with fast accurate spectral information of the cells. The spectrum is comprised of
As each type of cell and even each status has a defined Raman spectrum the individual spectral pattern could serve as versatile, ubiquitous spectral or
In addition, BioRam® can monitor efficacy of designed drugs or individualized therapy.
Application – Detection of cellular infection 3
Raman spectroscopy provides a fast yet highly specific tool to detect eukaryotic cell infection as could be shown in the case of Chlamydia pneumoniae infected human monocyte cells.
Detection of C. pneumoniae infection in human blood monocytes. (A) Score plot based on Principal Component Analysis (PCA) of 48h infected (red dots), 6h infected (yellow) an uninfected cells (blue dots). (B) Loadings plot of PC-1 indicating wavenumber regions (dark grey) mainly responsible for differences between uninfected and 48h infected monocytes. (Fig. 3 Buchacher et al.)
3 Buchacher, T. et al. Human blood monocytes support persistence, but not replication of the intracellular pathogen C. pneumoniae. BMC Immunol. 15, 1–11 (2014).
Application – Potential for early diagnosis and prediction of prostate cancer outcome
Current cancer diagnosis methods are using either relatively unsensitive spectroscopic devices or are dependend on the accuracy of biopsis. In addition, the right biomarkers for tumor characterization and staging are often not only very expensive but not specific or reliable enough taking a live threatening desicion.
Analysing tumor cells and tissues from biopsis BioRam® provides fast and reliable results. Even further, BioRam® can detect and characterize cells in the perithery of tumors enabling the detection of the connected tumor itself. This can speed up the cancer diagnosis and help saving lives initiating early treatments.
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