2005
DOI: 10.1364/ao.44.001792
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In vivo fiber-optic confocal reflectance microscope with an injection-molded plastic miniature objective lens

Abstract: For in vivo optical diagnostic technologies to be distributed to the developed and developing worlds, optical imaging systems must be constructed of inexpensive components. We present a fiber-optic confocal reflectance microscope with a cost-effective injection-molded plastic miniature objective lens for in vivo imaging of human tissues in near real time. The measured lateral resolution is less than 2.2 microm, and the measured axial resolution is 10 microm. Confocal images of ex vivo cervical tissue biopsies … Show more

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Cited by 104 publications
(57 citation statements)
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“…Image-guiding bundles maintain the relative arrangements of the individual fibers throughout the length of the bundle, allowing transmission of an intensity image in pixilated form. Such bundles are commercially available and are commonly used for both epifluorescence 59 and scanning confocal or two-photon imaging 19,23,25,30,31,39,40,42,[60][61][62] . However, unlike in lenses or GRIN fibers, only intensity information is transmitted.…”
Section: Fiber Bundlesmentioning
confidence: 99%
“…Image-guiding bundles maintain the relative arrangements of the individual fibers throughout the length of the bundle, allowing transmission of an intensity image in pixilated form. Such bundles are commercially available and are commonly used for both epifluorescence 59 and scanning confocal or two-photon imaging 19,23,25,30,31,39,40,42,[60][61][62] . However, unlike in lenses or GRIN fibers, only intensity information is transmitted.…”
Section: Fiber Bundlesmentioning
confidence: 99%
“…참고로 미국의 애리조나 대학의 광과학연구소에서 직경과 길이가 각각 7 mm와 20 mm인 전통적인 형식의 소형 대물 렌즈를 발표한 바 있지만 큰 관심을 끌지는 못했다. [9][10][11][12] 이는…”
Section: 서 론unclassified
“…The microscope has been developed with the aim to apply a typical solid state spectroscopic approach (by dielectric function classification) to the early detection of skin cancer, disease classification and similar applications. The LSCM is indeed considered to be useful in such respect, 18,19 also leading towards great very local and fast tools developed for this specific purpose. 20 We are in the middle of such an achievement, and we have yet to prove our approach useful and possible also for biologic tissues.…”
Section: Introductionmentioning
confidence: 99%