ArticleMolecular and cellular biochemistry2007
Deciphering the finger prints of brain cancer astrocytoma in comparison to astrocytes by using near infrared Raman spectroscopy.
Article in Molecular and cellular biochemistry, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 25 citations in OpenAlex.
- From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.Free neuropathology · 2022Article
- Raman Spectroscopy and Machine Learning for IDH Genotyping of Unprocessed Glioma Biopsies.Cancers · 2021Article
- GliomaCancers · 2021Article
- Shining light on neurosurgery diagnostics using Raman spectroscopy.Journal of neuro-oncology · 2016Review
- Deciphering the Finger Prints of Brain Cancer Glioblastoma Multiforme from Four Different Patients by Using Near Infrared Raman Spectroscopy.Journal of cancer science & therapy · 2015Article
- Cervical cancer detection based on serum sample Raman spectroscopy.Lasers in medical science · 2014Article
- Raman spectroscopy in biomedicine - non-invasive in vitro analysis of cells and extracellular matrix components in tissues.Biotechnology journal · 2013Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
To explore the biochemical differences between brain cancer cells Astrocytoma and normal cells Astrocyte, we investigated the Raman spectra of single cell from these two cell types and analyzed the difference in spectra and intensity. Raman spectrum shows the banding pattern of different compounds as detected by the laser. Raman intensity measures the intensity of these individual bands. The Raman spectra of brain cancer cells was similar to those of normal cells, but the Raman intensity of cancer cells was much higher than that of normal cells. The Raman spectra of brain cancer Astrocytoma shows that the structural changes of cancer cells happen so that many biological functions of these cells are lost. The results indicate that Raman spectra can offer the experimental basis for the cancer diagnosis and treatment.
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Registered trials
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