PurposeThe adoption of emerging imaging technologies in the medical community is often hampered when they provide a new unfamiliar contrast that requires experience to be interpreted. Dynamic full-field optical coherence tomography (D-FF-OCT) microscopy is such an emerging technique. It provides fast, high-resolution images of excised tissues with a contrast comparable to H&E histology but without any tissue preparation and alteration.ApproachWe designed and compared two machine learning approaches to support interpretation of D-FF-OCT images of breast surgical specimens and thus provide tools to facilitate medical adoption. We conducted a pilot study on 51 breast lumpectomy and mastectomy surgical specimens and more than 1000 individual 1.3 × 1.3 mm2 images and compared with standard H&E histology diagnosis.ResultsUsing our automatic diagnosis algorithms, we obtained an accuracy above 88% at the image level (1.3 × 1.3 mm2) and above 96% at the specimen level (above cm2).ConclusionsAltogether, these results demonstrate the high potential of D-FF-OCT coupled to machine learning to provide a rapid, automatic, and accurate histopathology diagnosis with minimal sample alteration.
We present a new dynamic full-field optical coherence tomography (D-FF-OCT) imaging technique, which is self-referenced, vibration-insensitive and overcomes D-FF-OCT limitations near specular surfaces, named interface self-referencing D-FF-OCT (iSR-D-FF-OCT). In fibroblasts, retinal organoids, and corneal explants, we demonstrate imaging in the vicinity of reflective interfaces without fringe artefacts, in a live, label-free, non-invasive manner with sub-diffraction limited sectioning capacity within 3D samples. iSR-(D)-FF-OCT has a homogeneous contrast across the imaging field enabling flawless mosaicking. iSR-(D)-FF-OCT complements and is easily implemented on existing D-FF-OCT set-ups to cover a zero to several hundred micrometer depth range.
We present the first dynamic full field optical coherence tomography (D-FFOCT) independent module which can be easily integrated into any commercial microscope. Combining the whole setup with a commercial incubator,, we demonstrate three-dimensional live imaging experiments over time periods of minutes to hours to days keeping the sample in healthy conditions. We show timelapse high resolution live images of retinal explants and organoids in disease modeling applications.
We present interface self-referencing D-FF-OCT (iSR-D-FF-OCT), a new dynamic full-field optical coherence tomography (D-FF-OCT) imaging technique, which is self-referenced, vibration-insensitive and overcomes D-FF-OCT fringe artefact limitations near specular surfaces. iSR-(D)-FF-OCT complements and is easily implemented on existing D-FF-OCT set-ups to cover a zero to several hundred micrometer depth range. iSR-(D)-FF-OCT has a homogeneous contrast across the imaging field enabling flawless mosaicking. In fibroblasts, retinal organoids, and corneal explants, we demonstrate imaging in the vicinity of reflective interfaces without fringe artefacts, in a live, label-free, non-invasive manner with sub-diffraction limited sectioning capacity within 3D samples.
We present the first dynamic full field optical coherence tomography (D-FFOCT) module which can be easily integrated into a commercial microscope. Benefitting from the optical standardization of commercial microscopy, we demonstrate three-dimensional live imaging experiments over time periods of minutes to hours to days thanks to the use of an incubator, able to maintain cell culture conditions. We show timelapse high resolution live images of retinal explants and organoids in disease modeling applications.
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