A measurement apparatus includes a filter changing a light amount of an irradiation light, a lens irradiating a surface of a material with the irradiation light, a stage changing a focus position of the irradiation light in a depth direction of the material, an interfering light extractor causing the irradiation light to interfere with reflected light from the material, a detector detecting an intensity of interfering light obtained by interference between the irradiation light and the reflected light, and a controller calculating a height of the surface of the material based on the detected intensity of interfering light while changing a relative focus position of the irradiation light with respect to the material at a given measurement point of the surface of the material. The controller controls the filter or light source based on the detected intensity of interfering light to change the light amount of the irradiation light.

A method, including: obtaining, by a processor, imaging data from a vessel; detecting, using the processor, an inner wall of the vessel based on the imaging data; identifying, using the processor, a plurality of visible edge portions of an outer wall of the vessel based on the imaging data; fitting, using the processor, a continuous surface model to the plurality of identified visible edge portions of the outer wall; and detecting, using the processor, the outer wall of the vessel based on fitting the continuous surface model to the plurality of identified visible edge portions of the outer wall such that the imaging data has defined therein a wall area between the inner wall and the outer wall of the vessel.

A method and an apparatus are directed to characterizing a continuously moving 3D object via interferometry-based scanning. The method includes repeatedly forming several depth characterizations of the 3D object along respective scan lines of a plurality of scan lines on the surface of the 3D object. During this scanning, the 3D object is undergoing its continuous motion. The method further includes combining the determined depth characterization along the scan lines of the plurality of scan lines to form a depth map representing at least a depth of a portion associated with a location on the surface of the 3D object in the third direction on a grid of locations arranged in the first and second directions. Forming the depth characterizations includes scanning a frequency-dispersed pulsed optical signal in a first direction across the continuously moving 3D object, said 3D object moving in a second direction substantially orthogonal to the first direction. The scanned optical signal forming scan lines on a surface of the 3D object in a third direction substantially orthogonal to the first direction and the second direction.

Systems and methods for improved interferometric imaging are presented. One embodiment is a partial field frequency-domain interferometric imaging system in which a light beam is scanned in two directions across a sample and the light scattered from the object is collected using a spatially resolved detector. The light beam could illuminate a spot, a line or a two-dimensional area on the sample. Additional embodiments with applicability to partial field as well as other types of interferometric systems are also presented.

A method and apparatus for characterizing the surface form of an optical element, in particular a mirror or a lens element of a microlithographic projection exposure apparatus, includes: carrying out a plurality of interferometric measurements, in each of which an interferogram is recorded between a test wave emanating from a portion of the optical element in each case and a reference wave, the position of the optical element relative to the test wave being altered between these measurements, and calculating the figure of the optical element on the basis of these measurements. This calculation is carried out iteratively in such that, in a plurality of iteration steps, the figure of the optical element is ascertained in each case by carrying out a forward calculation, each of these iteration steps being based in each case on a reference wave that was adapted based on the preceding iteration step.

A method and an apparatus are directed to characterizing a continuously moving 3D object via interferometry-based scanning. The method includes repeatedly forming several depth characterizations of the 3D object along respective scan lines of a plurality of scan lines on the surface of the 3D object. During this scanning, the 3D object is undergoing its continuous motion. The method further includes combining the determined depth characterization along the scan lines of the plurality of scan lines to form a depth map representing at least a depth of a portion associated with a location on the surface of the 3D object in the third direction on a grid of locations arranged in the first and second directions. Forming the depth characterizations includes scanning a frequency-dispersed pulsed optical signal in a first direction across the continuously moving 3D object, said 3D object moving in a second direction substantially orthogonal to the first direction. The scanned optical signal forming scan lines on a surface of the 3D object in a third direction substantially orthogonal to the first direction and the second direction.

An optical coherence tomograph includes a wavelength tunable illuminating device, an illumination and measurement beam path with a dividing element and a scanner and a front optical unit and a reference beam path, a detection beam path and a flat panel detector. A beam splitter conducts the separated measurement radiation to the detection beam path and an optical element acts only on the illumination radiation. The optical element sets the numerical aperture of the illumination of the illumination field in the eye. An optical element acts only on the measurement radiation and sets the numerical aperture with which measurement radiation is collected in the eye. An aperture is arranged in front of the flat panel detector in an intermediate image plane and defines the size of an object field. The flat panel detector has a spatial resolution of 4 to 100 pixels in a direction.

The present invention includes a preparatory step of providing a calibration work piece having a flat reflecting surface as a work piece, and arranging the reflecting surface to be parallel to a standard optical axis and orthogonal or parallel to pixel array directions of an image capture element; a rotation step of rotating a prism centered on the standard optical axis; a brightness detection step of detecting the brightness of an image captured by the image capture element at each of a plurality of rotation positions of the prism; and a positioning step of aligning the prism at a rotation position where the brightness detected by the brightness detection step is greatest.

An apparatus comprising means for: causing illumination of different areas of a sample with an optical frequency imaging beam at different positions at different times, wherein adjacent positions are configured to cause the corresponding areas to at least partially overlap; receiving signals indicative of back-scattering of the optical frequency imaging beam from the sample at the different times; and processing the received signals to obtain an image of the sample, wherein processing the received signals compensates for phase variations between the different positions at the different times using a matched filter derived from a scattering model of the sample.

A thickness evaluation method of the cell sheet according to the invention includes tomographically imaging a cell sheet by optical coherence tomography and obtaining a thickness distribution of the cell sheet based on a result of the tomography imaging. A tomographic image corresponding to one cross section of the cell sheet is obtained by tomography imaging while scanning the light in a main scanning direction. The tomography imaging is performed in every time while moving an incident position of the light at a predetermined feed pitch in a sub-scanning direction, thereby a plurality of the tomographic images corresponding to a plurality of cross-sections are obtained. One-dimensional thickness distributions of the cell sheet in the corresponding cross-sections are obtained based on each of the plurality of tomographic images, and a two-dimensional thickness distribution of the cell sheet is obtained by interpolating the one-dimensional thickness distributions.