Ultraminiature optical design for multispectral fluorescence imaging endoscopes

Tate, Tyler; Black, John B.; Utzinger, Urs; Barton, Jennifer K.

doi:10.1117/1.jbo.22.3.036013

Cited by 12 publications

(8 citation statements)

References 35 publications

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“…The majority of spectral imaging devices fall into two categories: amplitude division, where the light beam is divided into two new beams; and field division, where the light is filtered or divided based on its position in the beam [238]. Previously reported spectral endoscopy systems use amplitude division, including multiple bandpass filters [233,239], tuneable filters [232,240], laser lines [241][242][243], or detectors dedicated to separate spectral bands [241,242].…”

Section: Spectrally Resolved Detector Arrays (Srdas)mentioning

confidence: 99%

Novel Optical Endoscopes for Early Cancer Diagnosis and Therapy

Waterhouse¹

2019

Springer Theses

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First, I would like to thank my supervisor, Sarah Bohndiek, for giving me the opportunity to join VISIONLab in 2014. I could not have asked for a better supervisor. Throughout my time in her lab, Sarah made time to provide scientific advice and feedback and supported me in purchasing equipment, in travelling to conferences and in my professional development. Despite the lab expanding rapidly, Sarah's schedule, along with her office door, have remained open. Her openness, efficiency, and the apparent ease with which she carries out her work is inspirational and these qualities have cultivated a similarly efficient yet relaxed atmosphere in VISIONLab. Never have I felt the crippling pressure of my supervisor bearing down upon me, a feeling all too often described by my peers.Still, experiments failed. Equipment broke. Code crashed. During these times, I am grateful to have been surrounded by supportive colleagues. As a novice to research I am thankful that James Joseph and George Gordon were so willing to show me the ropes. I would also like to acknowledge the support of my exceptional clinical collaborators, especially Massimiliano di Pietro, Wladyslaw Januszewicz and James Tysome, whose support and patience has helped facilitate clinical translation of my work. I am grateful to have worked alongside Siri Luthman, tackling our problems together in an otherwise desolate optics lab.I would also like to thank my colleagues turned close friends. To Isa, James and Judith, for conversations over coffee, in the car and over beers. Your warm words were always reassuring. To Abby, for helping me to keep calm, and for reading and correcting this thesis. To Michal, for all the fun we shared over the years. Further thanks go to my friends in college, especially Andrea, for the relaxing evenings watching trash TV, and Alexis, for the formals and nightsout which made the end of the week worth looking forward to. And a huge thank you to Lina, for her love and support in the final stretch.Sadly, my big nan-nan is not here to see me complete my thesis. She is dearly missed and I am sure she would be immensely proud, as are my other grandparents. Their pride and love have spurred me on throughout my research. I express immense gratitude to my mum, dad and brother, Aaron. The weekends we spent in Cambridge, and at home, helped to remind me of the world outside the Cambridge bubble. Even in their absence, their love, support and advice stayed with me every step of the way, strengthening me in challenging times. The lessons my parents have taught me, and the example they set, have shaped all aspects of who I am and where I am today, and I will be forever grateful.Finally, I would like to acknowledge the funding from the CRUK-EPSRC Cancer Imaging Centre in Cambridge and Manchester, without which I could not have carried out this work. These thanks extend to the millions of people whose generous donations ensure this work continues.

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Section: Spectrally Resolved Detector Arrays (Srdas)mentioning

confidence: 99%

Novel Optical Endoscopes for Early Cancer Diagnosis and Therapy

Waterhouse¹

2019

Springer Theses

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“… 35 With all MSI approaches, a trade-off among spatial, spectral, and temporal resolution must be considered alongside cost, complexity, size, and robustness. Previously reported spectral endoscopy systems generally use amplitude-division, including multiple bandpass filters, 29 , 36 tunable filters, 28 , 37 laser lines, 38 – 40 or detectors dedicated to separate spectral bands. 38 , 39 These amplitude-division systems are typically bulky, costly, and more susceptible to misalignment in a clinical environment.…”

Section: Introductionmentioning

confidence: 99%

First-in-human pilot study of snapshot multispectral endoscopy for early detection of Barrett’s-related neoplasia

et al. 2021

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. Significance: The early detection of dysplasia in patients with Barrett’s esophagus could improve outcomes by enabling curative intervention; however, dysplasia is often inconspicuous using conventional white-light endoscopy. Aim: We sought to determine whether multispectral imaging (MSI) could be applied in endoscopy to improve detection of dysplasia in the upper gastrointestinal (GI) tract. Approach: We used a commercial fiberscope to relay imaging data from within the upper GI tract to a snapshot MSI camera capable of collecting data from nine spectral bands. The system was deployed in a pilot clinical study of 20 patients (ClinicalTrials.gov NCT03388047) to capture 727 in vivo image cubes matched with gold-standard diagnosis from histopathology. We compared the performance of seven learning-based methods for data classification, including linear discriminant analysis, -nearest neighbor classification, and a neural network. Results: Validation of our approach using a Macbeth color chart achieved an image-based classification accuracy of 96.5%. Although our patient cohort showed significant intra- and interpatient variance, we were able to resolve disease-specific contributions to the recorded MSI data. In classification, a combined principal component analysis and -nearest-neighbor approach performed best, achieving accuracies of 95.8%, 90.7%, and 76.1%, respectively, for squamous, non-dysplastic Barrett’s esophagus and neoplasia based on majority decisions per-image. Conclusions: MSI shows promise for disease classification in Barrett’s esophagus and merits further investigation as a tool in high-definition “chip-on-tip” endoscopes.

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“…Traditional fiber-optic endoscopes use incoherent fiber bundles for diffuse white light illumination and coherent fiber bundles (CFB) to carry detection light from the distal end to the proximal end of the endoscope. [1][2][3] Endoscopes can employ additional imaging modalities to improve upon conventional endoscopy, which can miss epithelial transformations associated with increased potential of progression to cancer (such as the development of mild, moderate, or severe dysplasia) or carcinoma in situ. Narrowband imaging (NBI) is becoming increasingly common in endoscopic imaging and uses specific wavelength ranges of light to enhance the contrast between vasculature and mucosa: blue light enhances vessels in the superficial layers of tissue, whereas green light, with its higher penetration depth, emphasizes deeper vessels.…”

Section: Introductionmentioning

confidence: 99%