Spectacular results on breast cancer with Peking University Peoples Hospital
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Bertrand de Poly Jury for Les Echos E-Health 2018 Award
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LLTECH laureate of the ECARE tour 2018
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Meet us at BIO 2018
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LLTech at Photonics West 2018 – 27 January – 1 February 2018
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Dynamic Cell Imaging (DCI) enhances the cellular contrast by capturing the residual microscopic intracellular movements in freshly excised tissue.

Dynamic Cell Imaging provides a dynamic contrast at the intracellular scale which complements the morphological information provided by FFOCT, thus bringing LLTech images up to the histology level of detail and information richness.
As shown in the schematic below, the DCI technique consists in recording the time series of each voxel under examination during a few seconds and process them in order to extract characteristic features of the subcellular activity to be displayed. From a Fourier analysis of the time signal, the DCI RGB image is created where the blue channel corresponds to low frequency moving parts (< 0.5 Hz), the green channel displays medium frequency moving parts (0.5 to 5 Hz), and the red channel displays higher frequency moving parts (5 to 25 Hz). The signal intensity in each color channel reflects the dynamics amplitude in each corresponding frequency range.

Acquisition method of the DCI image. The optical signal variations of the area under examination are recorded over time.


The below DCI images obtained on different breast samples show the potential of the DCI technique to differentiate cancerous from normal tissue and ultimately to discriminate various cell types. Indeed, many bright yellow cells of particular shape are visible in image (c) whereas they do not appear in images (a) and (b). Also observed in liver and lymph node tissue DCI images, these cells are presumably immune cells and thus represent a good marker of inflammation.

DCI images on breast tissue: (a) abnormal lobule in cancerous breast, (b) breast duct invaded by cancerous cells, (c) immune cells in inflammated breast.