TosiG., GiorginiE., RubiniC., SabbatiniS., LibrandoV., AloF.2012. Vibrational Spectroscopy as a Supporting Technique in Clinical Diagnosis and Prognosis of Atherosclerotic Carotid Plaques A Review. Anal. Quant. Cyt. Hist., 34:214–232.
4.
BieleckiC., BocklitzT.W., SchmittM., KrafftC., MarquardtC., GharbiA., KnoeselT., StallmachA., PoppA.2012. Classification of inflammatory bowel diseases by means of Raman spectroscopic imaging of epithelium cells. J. Biomed. Opt., 17:076030.
5.
SalmanA., ShufanE., ZeiriL., HuleihelM.2013. Detection and identification of cancerous murine fibroblasts, transformed by murine sarcoma virus in culture, using Raman spectroscopy and advanced statistical methods. Biochim. Biophys. Acta, 1830:2720–2727.
6.
TuQ., ChangC.2012. Diagnostic applications of Raman spectroscopy. Nanomedicine, 8:545–558.
7.
AunerA.W., KastR.E., RabahR., PoulikJ.M., KleinM.D.2013. Conclusions and data analysis: a 6-year study of Raman spectroscopy of solid tumors at a major pediatric institute. Pediatr. Surg. Int., 29:129–140.
8.
BeleitesC., BonifacioA., CodrichD., KrafftC., SergoV.2013. Raman spectroscopy and imaging: promising optical diagnostic tools in pediatrics. Curr. Med. Chem., 20:2176–2187.
9.
LuoY.S., DuZ.W., YangY.J., ChenP., TianQ., ShangX.L., LiuZ.C., YaoX.Q., WangJ.Z., WangX.H., ChengY., PengJ., ShenA.G., HuJ.M.2013. Laser Raman detection of platelets for early and differential diagnosis of Alzheimer's disease based on an adaptive Gaussian process classification algorithm. Laser Phys., 23:045603.
10.
HuangH., ShiH., FengS., LinJ., ChenW., HuangZ., LiY., YuY., LinD., XuQ., ChenR.2013. Silver nanoparticle based surface enhanced Raman scattering spectroscopy of diabetic and normal rat pancreatic tissue under near-infrared laser excitation. Laser Phys. Lett., 10:045603.
11.
SaleemM., BilalM., AnwarS., RehmanA., AhmedM.2013. Optical diagnosis of dengue virus infection in human blood serum using Raman spectroscopy. Laser Phys. Lett., 10:035602.
12.
DhedaK., RuhwaldK., TheronG., PeterJ., YamW.C.2013. Point-of-care diagnosis of tuberculosis: Past, present and future. Respirology, 18:217–232.
13.
WuZ.J., WangC., LinZ.C.2013. Raman spectra of different kinds of thalassemia erythrocytes with the effect of pH [in Chinese]Spectrosc Spect Anal, 33:982–986.
14.
de LimaC.J., MoreiraL.M., LyonJ.P., VillaverdeA.B., PachecoM.T.T.2009. Catheters: instrumental advancements in biomedical applications of optical fibers. Lasers Med. Sci., 24:621–626.
15.
LazaroJ.C., PachecoM.T.T., RodriguesK.C., de LimaC.J., MoreiraL.M., VillaverdeA.B., SilveiraL.Jr.2009. Optimizing the Raman signal for characterizing organic samples: the effect of slit aperture and exposure time. Spectroscopy, 23:71–80.
16.
Uskokovic–MarkovicS., Jelikic–StankovM., Holclajtner–AntunovicI., DurdevicP.2013. Raman Spectroscopy as a new biochemical diagnostic tool. J. Med. Biochem., 32:96–103.
17.
SilveiraL.Jr., MoreiraL.M., ConceiçãoV.G.B., CasalechiH.L., MunozI.S., da SilvaF.F., SilvaM.A.S.R., de SouzaR.A., PachecoM.T.T.2009. Determination of sucrose concentration in lemon-type soft drinks by dispersive Raman spectroscopy. Spectroscopy, 23:217–226.
18.
AliS.M., BonnierF., LambkinH., FlynnK., McDonaghV., HealyC., LeeT.C., LyngF.M., ByrneH.J.2013. A comparison of Raman, FTIR and ATR-FTIR micro spectroscopy for imaging human skin tissue sections. Anal. Met., 5:2281–2291.
19.
ZengH., McWilliamsA., LamS.2004. Optical spectroscopy and imaging for early lung cancer detection: a review. Photodiagnosis Photodyn. Ther., 1:111–122.
20.
Reyes–GoddardJ.M., BarrH., StoneN.2005. Photodiagnosis using Raman and surface enhanced Raman scattering of bodily fluids. Photodiagnosis Photodyn. Ther., 2:223–233.
21.
TunnellJ.W., HakaA.W., McGeeS.A., MirkovicJ., FeldM.S.2003. Diagnostic tissue spectroscopy and its applications to gastrointestinal endoscopy. Tech. Gastrointest. Endosc., 5:65–73.
22.
RollinsA.M., SivakM.V.2001. Potential new endoscopic techniques for the earlier diagnosis of pre-malignancy. Best Pract. Res. Clin. Gastroenterol., 15:227–247.
23.
MatousekP., StoneN.2001. Recent advances in the development of Raman spectroscopy for deep non-invasive medical diagnosis. J. Biophotonics, 6:7–9.