Near-infrared FT-Raman spectra of the rat brain tissues

Mizuno, A; Hayashi, Takashi; Tashibu, Koichi; Maraishi, Shuichi; Kawauchi, Kiyotaka; Ozaki, Yukihiro

doi:10.1016/0304-3940(92)90331-z

Cited by 70 publications

(49 citation statements)

References 10 publications

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“…The extracted Raman spectra show strong signal intensities between 2800 and 3000 cm −1 . This spectral region is assigned to the CH stretching vibrational modes namely at 2852 cm −1 (CH 2 symmetric), 2885 cm −1 (CH 2 asymmetric), 2938 cm −1 (CH 3 symmetric) and 2958 cm −1 (CH 3 asymmetric) [25]. Mizuno et al also identified the spectral positions of 1442 cm −1 and 1664 cm −1 in rat brain tissue as the Raman-vibrational modes of amid (from proteins) and CH 2 deformation originating from lipid and proteins as well.…”

Section: Resultsmentioning

confidence: 99%

Chemoselective imaging of mouse brain tissue via multiplex CARS microscopy

Pohling

Buckup

Pagenstecher

et al. 2011

Biomed. Opt. Express

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The fast and reliable characterization of pathological tissue is a debated topic in the application of vibrational spectroscopy in medicine. In the present work we apply multiplex coherent anti-Stokes Raman scattering (MCARS) to the investigation of fresh mouse brain tissue. The combination of imaginary part extraction followed by principal component analysis led to color contrast between grey and white matter as well as layers of granule and Purkinje cells. Additional quantitative information was obtained by using a decomposition algorithm. The results perfectly agree with HE stained references slides prepared separately making multiplex CARS an ideal approach for chemoselective imaging.

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Section: Resultsmentioning

confidence: 99%

Chemoselective imaging of mouse brain tissue via multiplex CARS microscopy

Pohling

Buckup

Pagenstecher

et al. 2011

Biomed. Opt. Express

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“…14 Mizuno et al used Fourier transform (FT) RS to explore rat brain and published spectra of di®erent brain tumors. 15,16 Spectra were acquired from cerebral cortex, caudate-putamen, white matter of the cerebrum, thalamus, and myelin fraction, and identi¯cation of gray and white matters was achieved based on higher lipid content in the white matter. 15 These early studies provided the impetus for further research on human biopsy samples which are described in the next section.…”

Section: Raman Spectroscopy-based Exploration In Brain Cancersmentioning

confidence: 99%

“…15,16 Spectra were acquired from cerebral cortex, caudate-putamen, white matter of the cerebrum, thalamus, and myelin fraction, and identi¯cation of gray and white matters was achieved based on higher lipid content in the white matter. 15 These early studies provided the impetus for further research on human biopsy samples which are described in the next section. Animal models were also used to study normal and necrotic brain tissues by Amharref et al 17 Raman microspectroscopy of 15-m-thick brain sections followed by pseudo color maps were compared with histopathology and biomarkers for Ki-67 and MT1-MMP.…”

Section: Raman Spectroscopy-based Exploration In Brain Cancersmentioning

confidence: 99%

Raman spectroscopy as a promising noninvasive tool in brain cancer detection

Kumar

2017

J. Innov. Opt. Health Sci.

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Despite intensive therapy regimen, brain cancers present with a poor prognosis, with an estimated median survival time of less than 15 months in case of glioblastoma. Early detection and improved surgical resections are suggested to enhance prognosis; several tools are being explored to achieve the purpose. Raman spectroscopy (RS), a nondestructive and noninvasive technique, has been extensively explored in brain cancers. This review summarizes RS-based studies in brain cancers, categorized into studies on animal models, ex vivo human samples, and in vivo human subjects. Findings suggest RS as a promising tool which can aid in improving the accuracy of brain tumor surgery. Further advancements in instrumentation, market-assessment, and clinical trials can facilitate translation of the technology as a noninvasive intraoperative guidance tool.

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“…Given a very strong Raman cross-section for some of the major lipid and bone vibrations, such as symmetric CH 2 stretch vibration at 2;845 cm −1 and phosphate vibration at 960 cm −1 (hydroxyapatite), it is anticipated that the unique imaging modality experimentally demonstrated here can be employed for deep-tissue visualization of molecular structures composed of those molecules. Potential applications include imaging and chemical analysis of microcalcifications preceding breast cancer (19), imaging of neuronal structures (37), and diagnosis of atherosclerosis (38) and bone demineralization (39). These studies will require a modified stimulated Raman PA imaging instrumentation to allow larger frequency separation between pump and probe beams, which is achievable given the moderate power requirement for efficient excitation.…”

Section: Discussionmentioning

confidence: 99%

Stimulated Raman photoacoustic imaging

Yakovlev

Zhang

Noojin³

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

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Achieving label-free, molecular-specific imaging with high spatial resolution in deep tissue is often considered the grand challenge of optical imaging. To accomplish this goal, significant optical scattering in tissues has to be overcome while achieving molecular specificity without resorting to extrinsic labeling. We demonstrate the feasibility of developing such an optical imaging modality by combining the molecularly specific stimulated Raman excitation with the photoacoustic detection. By employing two ultrashort excitation laser pulses, separated in frequency by the vibrational frequency of a targeted molecule, only the specific vibrational level of the target molecules in the illuminated tissue volume is excited. This targeted optical absorption generates ultrasonic waves (referred to as stimulated Raman photoacoustic waves) which are detected using a traditional ultrasonic transducer to form an image following the design of the established photoacoustic microscopy.

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Near-infrared FT-Raman spectra of the rat brain tissues

Cited by 70 publications

References 10 publications

Chemoselective imaging of mouse brain tissue via multiplex CARS microscopy

Chemoselective imaging of mouse brain tissue via multiplex CARS microscopy

Raman spectroscopy as a promising noninvasive tool in brain cancer detection

Stimulated Raman photoacoustic imaging

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