Detecting oesophageal cancer early leads to significantly better patient outcomes. Patients with conditions associated with higher cancer risk undergo regular surveillance endoscopies yet due to low contrast in white light imaging, standard of care endoscopies suffer from low detection rates. Hyperspectral imaging can improve contrast between healthy and diseased tissue. Here, we developed a system enabling flexible illumination-based hyperspectral imaging, designed to be used with a standard clinical endoscope. Our custom light source consists of white light from a supercontinuum laser and one of two tunable illumination systems: an acousto-optic tunable filter, enabling narrowband spectral sweeps, or a high-speed digital micromirror device, resulting in a highly versatile system for clinical testing.
Standard-of-care endoscopy and laparoscopy require multiple cameras to enable molecular imaging, which leads to challenges of 3D image registration and overlay. To address this, we are developing a targeted multispectral imaging (MSI) camera using custom multispectral filter arrays integrated onto image sensors. The design augments RGB-Bayer filters with sub-pixel narrowband filters, thereby maintaining white-light imaging through pixel binning while adding MSI contrast enhancement. Prototypes were tested by imaging tissue-mimicking phantoms containing blood of varied oxygenation, ICG dye and color charts. Future work will examine the translation potential for chip-on-tip endoscopy.
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