RESUMEN
We propose and demonstrate a common-path low-coherence interferometry (CP-LCI) fiber-optic sensor guided precise microincision. The method tracks the target surface and compensates the tool-to-surface relative motion with better than ± 5 µm resolution using a precision micromotor connected to the tool tip. A single-fiber distance probe integrated microdissector was used to perform an accurate 100 µm incision into the surface of an Intralipid phantom. The CP-LCI guided incision quality in terms of depth was evaluated afterwards using three-dimensional Fourier-domain optical coherence tomography imaging, which showed significant improvement of incision accuracy compared to free-hand-only operations.
Asunto(s)
Tecnología de Fibra Óptica/instrumentación , Interferometría/métodos , Microcirugia/instrumentación , Microcirugia/métodos , Cirugía Asistida por Computador/métodos , Tomografía de Coherencia Óptica/métodos , Emulsiones , Diseño de Equipo , Análisis de Fourier , Microdisección , Modelos Biológicos , Fantasmas de Imagen , Fosfolípidos , Aceite de SojaRESUMEN
We propose a reflectance fiber bundle microscope using a dark-field illumination configuration for applications in endoscopic medical imaging and diagnostics. Our experiment results show that dark-field illumination can effectively suppress strong specular reflection from the proximal end of the fiber bundle. We realized a lateral resolution of 4.4 µm using the dark-field illuminated fiber bundle configuration. To demonstrate the feasibility of using the system to study cell morphology, we obtained still and video images of two thyroid cancer cell lines. Our results clearly allow differentiation of different cancer cell types.
Asunto(s)
Técnicas Citológicas/instrumentación , Endoscopios , Microscopía por Video/instrumentación , Fibras Ópticas , Línea Celular Tumoral , Técnicas Citológicas/métodos , Humanos , Microscopía por Video/métodos , Cebollas/citología , Neoplasias de la Tiroides/patologíaRESUMEN
We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly undersampling the k-space SD OCT signal. We achieved this by applying pseudo-random masks to sample 62.5%, 50%, and 37.5% of the CCD camera pixels. OCT images are reconstructed by solving an optimization problem that minimizes the l(1) norm of a transformed image to enforce sparsity, subject to data consistency constraints. CS could allow an array detector with fewer pixels to reconstruct high resolution OCT images while reducing the total amount of data required to process the images.