Application – Detection of cellular infection 3
Microbial pathogens have developed various strategies to escape and alter host immunity to survive within the host. Detection of pathogens within immune cells is challenging and their intracellular growth may prevent correct diagnosis and appropriate treatment. 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.
For further information, please contact CellTool Customer Service.
Cancer is still one of the biggest challenges in medical research and clinical therapy. Despite the recent spectacular advances in molecular medicine, genomics, proteomics, and translational research, mortality rates for the most prevalent cancers have not been significantly reduced.
One of the most promising approaches to reduce the growing cancer burden is early detection and precocious administration of effective treatment.
Current cancer diagnosis methods use either rather insensitive spectroscopic devices or depend on the accuracy of biopsies. In addition, biomarkers for tumor characterization and staging are often not specific or reliable enough for taking a decision in a life threatening situation.
You are looking for reliable methods to detect fatal disease, but...
Diagnosis using BioRam is saving time and money – providing reliable results for fast intervention and predictive therapeutic response.
BioRam® provides you with fast accurate spectral information of the cells
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 „photonic“ biomarker.
In addition, BioRam® can monitor efficacy of designed drugs or individualized therapy
you don't want to rely on routine tissue section analysis only?
you can‘t get the right biomarker?
there is a limited amount of cells samples
you need immediate results for fast intervention?
you have to reduce costs