Profiling differences in chemical composition of brain structures using Raman spectroscopy

Daković, Marko; Stojiljković, A.; Bajuk–Bogdanović, Danica; Starčević, Ana; Puškaš, Laslo; Filipović, Branislav; Uskoković‐Marković, Snežana; Holclajtner-Antunović, Ivanka

doi:10.1016/j.talanta.2013.08.058

Cited by 16 publications

(7 citation statements)

References 30 publications

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“…As previously reported, white matter presents a higher content in saturated lipids which resulted in an increase of the peaks at 1,065, 1,296, and 1,438 cm −1 . Gray matter, on the other hand, presented a larger concentration of protein which resulted in a sharper peak at 1,002 cm −1 associated with phenylalanine and higher peak intensities at 1,608, 1,620, and 1,640 cm −1 . Similar behavior can be observed on swine tissue where muscle is shown to present several spectral features associated with high protein content, while adipose tissue presented a larger concentrations of fatty acid .…”

Section: Resultssupporting

confidence: 83%

“…38 Gray matter, on the other hand, presented a larger concentration of protein which resulted in a sharper peak at 1,002 cm À1 associated with phenylalanine and higher peak intensities at 1,608, 1,620, and 1,640 cm À1 . 35 Similar behavior can be observed on swine tissue where muscle is shown to present several spectral features associated with high protein content, 34 while adipose tissue presented a larger concentrations of fatty acid. 33,36 As muscle tissue also contains fatty acids, the protein peaks close to the lipid peaks might have been overwhelmed by the contribution of lipid signal from those tissues.…”

Section: B Ex Vivo Animal Specimen Imagingsupporting

confidence: 59%

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Development and characterization of a handheld hyperspectral Raman imaging probe system for molecular characterization of tissue on mesoscopic scales

et al. 2017

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Purpose: Raman spectroscopy is a promising cancer detection technique for surgical guidance applications. It can provide quantitative information relating to global tissue properties associated with structural, metabolic, immunological, and genetic biochemical phenomena in terms of molecular species including amino acids, lipids, proteins, and nucleic acid (DNA). To date in vivo Raman spectroscopy systems mostly included probes and biopsy needles typically limited to single-point tissue interrogation over a scale between 100 and 500 microns. The development of wider field handheld systems could improve tumor localization for a range of open surgery applications including brain, ovarian, and skin cancers. Methods: Here we present a novel Raman spectroscopy implementation using a coherent imaging bundle of fibers to create a probe capable of reconstructing molecular images over mesoscopic fields of view. Detection is performed using linear scanning with a rotation mirror and an imaging spectrometer. Different slits widths were tested at the entrance of the spectrometer to optimize spatial and spectral resolution while preserving sufficient signal-to-noise ratios to detect the principal Raman tissue features. The nonbiological samples, calcite and polytetrafluoroethylene (PTFE), were used to characterize the performance of the system. The new wide-field probe was tested on ex vivo samples of calf brain and swine tissue. Raman spectral content of both tissue types were validated with data from the literature and compared with data acquired with a single-point Raman spectroscopy probe. The single-point probe was used as the gold standard against which the new instrument was benchmarked as it has already been thoroughly validated for biological tissue characterization. Result: We have developed and characterized a practical noncontact handheld Raman imager providing tissue information at a spatial resolution of 115 microns over a field of view >14 mm 2 and a spectral resolution of 6 cm À1 over the whole fingerprint region. Typical integration time to acquire an entire Raman image over swine tissue was set to approximately 100 s. Spectra acquired with both probes (single-point and wide-field) showed good agreement, with a Pearson correlation factor >0.85 over different tissue categories. Protein and lipid content of imaged tissue were manifested into the measured spectra which correlated well with previous findings in the literature. An example of quantitative molecular map is presented for swine tissue and calf brain based on the ratio of protein-tolipid content showing clear delineations between white and gray matter as well as between adipose and muscle tissue. Conclusion:We presented the development of a Raman imaging probe with a field of view of a few millimeters and a spatial resolution consistent with standard surgical imaging methods using an imaging bundle. Spectra acquired with the newly developed system on swine tissue and calf brain correlated well with an establish single-point probe and observed spectral...

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Section: Resultssupporting

confidence: 83%

Section: B Ex Vivo Animal Specimen Imagingsupporting

confidence: 59%

Development and characterization of a handheld hyperspectral Raman imaging probe system for molecular characterization of tissue on mesoscopic scales

et al. 2017

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“…We performed RS on slices excised from control and cleared brains. Spectra obtained from control brain slices showed the prototypical signature of biomolecules in the brain 72,73 , with the expected lipids and proteins bands at 2850 and 2940 cm -1 , respectively (Suppl. 11a; dashed region).…”

Section: Resultsmentioning

confidence: 99%

“…We noted that the 2850 and 2940 cm -1 peaks ratio was variable between different regions of the slice, however, with both peaks remaining highly visible (Suppl. 11a, inset) 72 . We analyzed CLARITY brain slices at two different time points: after partial (3 hrs ETC) or full clearing (9 hrs ETC), and observed progressive reduction in the 2940/2850 cm -1 ratio; indicative of the relative reduction in proteins compared to lipids (Suppl.…”

Section: Hydration Of Udisco and Eci-brains Signi Cantly Increased The Mri Signals (Figs 2a And Suppl 1)mentioning

confidence: 99%

Tissue expansion of ‘cleared’ whole brains reduces contrast in ex vivo MRI

Saar

Olszakier

et al. 2021

Preprint

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Multimodal imaging of optically-cleared brains, ex vivo, by Magnetic Resonance Imaging (MRI) and light microscopy (LM) presents unique opportunities for studying the brain at various scales and resolutions. However, CLARITY -cleared brains lack MRI contrast, implicating lipids as the major source of MRI contrast. We explored the ex vivo MRI compatibility of uDISCO, ECi and Scale -cleared brains. Surprisingly, uDISCO and ECi -cleared brains retain MRI contrast, whereas Scale-cleared brains show a severe loss of MRI contrast, as CLARITY. Determination of lipid-content in cleared samples shows that CLARITY, uDISCO and ECi are strongly delipidating, whereas Scale preserves most lipids. We conclude that MRI contrast can be associated with tissue expansion (and hyperhydration) rather than with lipid-content. Thus, we present two clearing methods compatible with ex vivo MRI.

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“…A literatura mostra que a constituição do cérebro de primatas, como camundongo e humano são semelhantes, compostos por água, lipídios, proteína, carboidratos, substâncias orgânicas solúveis e sais inorgânicos (DAKOVIC et al, 2013). O cérebro de camundongo contém a mesma estrutura que o cérebro de outros mamíferos, mas é consideravelmente maior em relação ao tamanho do corpo.…”

Section: Desenho De Misturas Na Extração Para Cérebro De Camundongosunclassified

Abordagem metabolômica no estudo de exposição gestacional à fumaça de <i>Cannabis sativa</i> em cobaias

Souza¹

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Tavares, minha enorme gratidão pela paciência, carinho, apoio, ensinamentos tanto científicos quanto de vida. Por quem tenho uma grande admiração tanto como pessoa, quanto cientista. Sinto me privilegiada por tê-la como orientadora e modelo a ser seguido. Espero que meu maior reconhecimento seja o de honrar a riqueza recebida com seu convívio, procurando guiar-me pelos seus ensinamentos. Aos meus pais (Claudia e Antonio), meus queridos e companheiros irmãos e agregados (Dora Alice-Robert, Antonio Celso-Eliane, Claudia Maria e Mariangela) e meus pequenos amores (Lucas, Felipe e Rosa Luiza), obrigada pela paciência e compreensão pelas ausências devido aos estudos, prometo recompensar. Aos meus tantos e queridos amigos que tinha e que fiz ao longo dessa jornada no Doutorado: Aos amigos do laboratório, Gisele, Andréa, Carol, Fabio, Ana Paula, Nadine e Daniel que me incentivaram, me apoiaram nos momentos que mais precisava, me ajudaram e tiveram paciência em me ensinar, que me escutaram e que dividimos boas risadas. Um obrigado especial à Gisele e Andréa pelos ensinamentos em metabolômica. Ao Prof. Dr. João Farah, pelos ensinamentos de vida, pelas provocações científicas e políticas, por quem tenho enorme carinho, mesmo me chamando de "boticária". Ao Prof. Dr. Ernani Pinto Junior, pela colaboração e pelas conversas de apoio e incentivo. Ao Adelson Neto, obrigada pelo apoio, incentivo, pelas conversas, por sempre acreditar no meu trabalho e pela imensa ajuda na formatação da tese. Às Profas que tanto me ensinaram e tive a alegria de aprender, Elizabeth Nascimento e Ana

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Profiling differences in chemical composition of brain structures using Raman spectroscopy

Cited by 16 publications

References 30 publications

Development and characterization of a handheld hyperspectral Raman imaging probe system for molecular characterization of tissue on mesoscopic scales

Development and characterization of a handheld hyperspectral Raman imaging probe system for molecular characterization of tissue on mesoscopic scales

Tissue expansion of ‘cleared’ whole brains reduces contrast in ex vivo MRI

Abordagem metabolômica no estudo de exposição gestacional à fumaça de <i>Cannabis sativa</i> em cobaias

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