This work proposes an architecture for a wide-angle, self-aligned, in-plane monolithic scanner fabricated using the deep reactive ion etching technology. The fabricated microscanner provides an optical scanning in-plane angle of about 86 deg and operates at the speed of 2.73 kHz. The scanning is achieved using two synchronized, flat mirrors coupled mechanically to allow for wide-angle scanning and connected through a compliant structure to allow the use of a linear comb actuator. This wide-angle, in-plane scanning opens the door for many applications, especially for handheld optical displays.
Conventional Optical Coherence Tomography (OCT) probes usually require complex optics at their tips for focusing the
incident light on the measured samples and for scattered light collection. Such complexity is not compatible with the
common-path OCT architecture, in which the reference arm is replaced by partial reflection from the probe fiber-air
interface. This necessitates close proximity between the measured sample and the fiber tip to have sufficient
measurement depth inside the sample within the coherence length of the light. Indeed, separating the light injection and
collection paths simplifies the design of the OCT heads and allows the easy integration of a MEMS scanner within the
head. In this work, we propose a new OCT probe configuration that allows for such separation. To this end, a swept
source OCT setup was built using a tunable laser connected to the single-mode fiber of the probe and the scattered light
from the measured sample was collected using another Multi-Mode Fiber (MMF). The usage of the MMF in the
reception enables higher power-collection efficiency and transfers the reference position to be at the first layer of the
sample under test, which further extends the maximum depth analyzed by the OCT system and overcomes the restriction
of the close proximity mentioned above. This simple concept is validated by experimental measurements carried out on 1
mm-thick sheets of glasses with and without an integrated MEMS scanner on-chip.
A machine vision system is developed for measurement and comparison of biological shapes such as the mouse vertebrae. The system is flexible and able to work under varying illumination con- ditions. The rate of growth and shape change of the vertebrae are evaluated quantitatively by using a new pattern recognition technique. The image segmentation process is made difficult since these im- ages are plagued by poor contrast and dropouts. In this paper, a review of previous work is presented, along with how this problem can be viewed in the context of the computer vision area. The system consisting of a a video camera (Panasonic CCTV), digitizing unit with framestore, optics and a microcomputer measures the dimensions and compares the shapes of complex biological structures. The image processing system helps automating the measurement problem of such complex shapes and objectifies the measurement results. Reproducibility is an interesting feature of the developed system. An assessment of the measurement accuracy and time duration was undertaken. Different steps in the implementation of this solution are discussed and results are presented. Although our ultimate goal is automatic measurement of biological shape, attention will be restricted to a fast method for both parallel outlining of the vertebrae and feature extraction. Experimen- tal results on mouse vertebrae are presented to successfully demonstrate the feasibility of the method for low quality images.