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Life sciences literature

Downloads: Life sciences

  • Brochure:  Biological analysis using Raman spectroscopy and imaging Brochure: Biological analysis using Raman spectroscopy and imaging

    The domain of biological research is shaped by our ability to peer into the world of the small. Simply seeing microscopic biological samples is useful, but by utilising Raman spectroscopy we can surpass sight into the molecular realm… and beyond! Download this brochure to discover the wealth of biological applications made possible by Renishaw's Raman systems.

  • 應用要點: 氧化還原生物學及 inVia 共軛焦拉曼顯微鏡 應用要點: 氧化還原生物學及 inVia 共軛焦拉曼顯微鏡 [it]

    拉曼光譜對於血紅素蛋白十分敏感,非常適合用於研究其氧化還原生物,而無需隔離或染色。血紅素蛋白的氧化還原與其蛋白功能息息相關 – 傳遞氧氣並儲存、傳遞電子及清理游離基。透過使用拉曼光譜來說明生物系統內的氧化還原狀態,研究人員便能進一步研究氧化還原動態及其對衛生法規與疾病的影響。

  • Application note:  Raman imaging for biological applications. No stains. No labels. Application note: Raman imaging for biological applications. No stains. No labels.

    Raman spectroscopy is an information-rich, label-free, non-invasive imaging technique that is ideal for life sciences research. It uses laser light scattering to provide a chemical fingerprint at each point of the analysed area and identifies the molecules present in samples.

  • Product note:  Microplate mapping with Renishaw Raman system's Product note: Microplate mapping with Renishaw Raman system's

    Renishaw’s microplate mapping package enables researchers to use Renishaw’s Raman spectroscopy products to rapidly and easily analyse material contained in microplates.

Downloads: life sciences (cells)

Downloads: life sciences (tissues)

Webinar

You may also like to view our webinar - 'Resonance Raman spectroscopy for redox biology research'.

Application examples

We have also produced a range of application examples, including those below.

If you would like to find out more, please contact your local representative using the button below, quoting the relevant document reference.

Document reference

Description
AS013

3D imaging a glioma cell.

Reveal information about cells with inVia and 3D imaging.

AS014

3D imaging rat spinal tissue.

Reveal information about tissue with inVia and 3D imaging. In this example, the tissue components of rat spinal column are determined.

AS016

3D imaging of cell organelles.

Reveal information about cells with inVia and 3D imaging. In this example, the size and position of organelles wihin a glioma cell are determined.

AS017

Spermatozoon imaging.

Reveal information about anatomical parts of organisms with inVia. In this example, the anatomical parts of a spermatozoon are determined.

AS024

AFM and 3D Raman imaging of glioma cells.

Reveal detailed and complementary information on the composition of glioma cells by atomic force microscopy (AFM) and inVia 3D Raman imaging.

AS025

Fluoresence and 3D Raman imaging of cell organelles.

Unravel detailed and complementary information on the composition of glioma cells using confocal 3D Raman and fluorescence imaging.

AS031

Distinguish embryonic stem/carcinoma cell lines without labelling.

In this example, label free embryonic stem cell (ESC) and embryonic carcinoma cell (ECC) cell lines were differentiated using StreamLine™ imaging and principal component analysis.

AS034

Raman imaging of spermatozoa.

Reveal anatomical and chemical in normal and abnormal cells with inVia. In this example, the anatomical parts of a phenotypically normal and a phenotypically abnormal spermatozoon are determined.

AS036

Raman imaging of plant cell walls.

Reveal the distribution and the relative thickness of plant cell walls and syringyl lignin using StreamLineHR imaging

AS037

Raman imaging of engineered melanoma models.

Engineered 3D composites can be used to study the biochemistry of tumours, such as melanoma, and to investigate the impact of drugs on disease models. The tumour's size, chemistry, and its invasion and chemical alteration to the neighbouring tissue, are typically assessed.

AS038

Raman live cell imaging.

Non-invasive live cell imaging

AS053

Raman imaging to reveal the morphological and biomolecular features in apoptotic cells.

Reveal the morphology in apoptotic cells using confocal StreamLineHR imaging