Multicolor fluorescence microscopy for surgical guidance using a chip-scale imager with a low-NA fiber optic plate and a multi-bandpass interference filter.
Micah RoschelleRozhan RabbaniEfthymios PapageorgiouHui ZhangMatthew CooperbergBradley A StohrAli NiknejadMekhail AnwarPublished in: Biomedical optics express (2024)
In curative-intent cancer surgery, intraoperative fluorescence imaging of both diseased and healthy tissue can help to ensure the successful removal of all gross and microscopic diseases with minimal damage to neighboring critical structures, such as nerves. Current fluorescence-guided surgery (FGS) systems, however, rely on bulky and rigid optics that incur performance-limiting trade-offs between sensitivity and maneuverability. Moreover, many FGS systems are incapable of multiplexed imaging. As a result, clinical FGS is currently limited to millimeter-scale detection of a single fluorescent target. Here, we present a scalable, lens-less fluorescence imaging chip, VISION, capable of sensitive and multiplexed detection within a compact form factor. Central to VISION is a novel optical frontend design combining a low-numerical-aperture fiber optic plate (LNA-FOP) and a multi-bandpass interference filter, which is affixed to a custom CMOS image sensor. The LNA-FOP acts as a planar collimator to improve resolution and compensate for the angle-sensitivity of the interference filter, enabling high-resolution and multiplexed fluorescence imaging without lenses. We show VISION is capable of detecting tumor foci of less than 100 cells at near video framerates and, as proof of principle, can simultaneously visualize both tumors and nerves in ex vivo prostate tissue.
Keyphrases
- fluorescence imaging
- high resolution
- single molecule
- photodynamic therapy
- minimally invasive
- label free
- coronary artery bypass
- single cell
- high throughput
- optical coherence tomography
- mass spectrometry
- high speed
- induced apoptosis
- loop mediated isothermal amplification
- circulating tumor cells
- prostate cancer
- living cells
- surgical site infection
- papillary thyroid
- optic nerve
- energy transfer
- quantum dots
- tandem mass spectrometry
- real time pcr
- cell cycle arrest
- deep learning
- oxidative stress
- patients undergoing
- squamous cell
- cataract surgery
- acute coronary syndrome
- machine learning
- childhood cancer
- children with cerebral palsy
- lymph node metastasis
- flow cytometry