A spiking retina microscope comprising microscope optics and a neuromorphic imaging sensor. The microscope optics are configured to direct a magnified image of a specimen onto the neuromorphic imaging sensor. The neuromorphic imaging sensor comprises a plurality of sensor elements that are configured to generate spike signals in response to integrated light from the magnified image reaching a threshold. The spike signals may be processed by a processor unit to generate a result, such as tracking biological particles in a specimen comprising biological material.

An optical method of characterizing an object comprises providing an object to be characterized, the object having at least one nanoscale feature; illuminating the object with coherent plane wave optical radiation having a wavelength larger than the nanoscale feature; capturing a diffraction intensity pattern of the radiation which is scattered by the object; supplying the diffraction intensity pattern to a neural network trained with a training set of diffraction intensity patterns corresponding to other objects with a same nanoscale feature as the object to be characterized, the neural network configured to recover information about the object from the diffraction intensity pattern; and making a characterization of the object based on the recovered information.

A scanning electron microscope (SEM) device includes: an electron beam source configured to emit an electron beam; a lens unit disposed between the electron beam source and a stage configured to seat an object including structures having a pattern is seated, and including a scanning coil, the scanning coil configured to generate an electromagnetic field to provide a lens, and an astigmatism adjuster; and a control unit. The control unit is configured to change a working distance between the lens unit and the object to obtain a plurality of original images, obtain a pattern image, in which the structures appear, and a plurality of kernel images, in which a distribution of the electron beam on the object appears, from the plurality of original images, and control the astigmatism adjuster to adjust the focus and the astigmatism of the lens unit using feature values extracted from the plurality of kernel images.

The present invention relates to a device and a method for microscopy (100) of a plurality of samples (102), wherein the device comprises:—a first optical detector (106, 108), which is designed to consecutively adopt a plurality of measuring positions and to detect first image data (200) of a sample (104) with a first spatial resolution at each measuring position;—an image data analyser device which is designed to determine for each sample (202) a region (204) of the sample to be examined represented within the first image data (200) in each case;—a second optical detector (110, 112), which is coupled to the first optical detector (106, 108) in such a manner that the second optical detector (110, 112) tracks the first optical detector (106, 108) and therefore the second optical detector (110, 112) adopts measuring positions which the first optical detector (106, 108) had previously adopted. The second optical detector (110, 112) is designed to detect for each sample (202) respective second image data (300) from the region (204) to be examined in the sample (202) concerned, with a spatial resolution that is higher than the first spatial resolution.

In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2.sup.N vertex classifications. The azimuthal angles and the 2.sup.N vertex classifications are used to map L dimensional images into 0 dimensional images.

A spiking retina microscope comprising microscope optics and a neuromorphic imaging sensor. The microscope optics are configured to direct a magnified image of a specimen onto the neuromorphic imaging sensor. The neuromorphic imaging sensor comprises a plurality of sensor elements that are configured to generate spike signals in response to integrated light from the magnified image reaching a threshold. The spike signals may be processed by a processor unit to generate a result, such as tracking biological particles in a specimen comprising biological material.

An optical method of characterizing an object comprises providing an object to be characterized, the object having at least one nanoscale feature; illuminating the object with coherent plane wave optical radiation having a wavelength larger than the nanoscale feature; capturing a diffraction intensity pattern of the radiation which is scattered by the object; supplying the diffraction intensity pattern to a neural network trained with a training set of diffraction intensity patterns corresponding to other objects with a same nanoscale feature as the object to be characterized, the neural network configured to recover information about the object from the diffraction intensity pattern; and making a characterization of the object based on the recovered information.

A multidimensional printer makes a multidimensional structure from a liquid composition and includes: an energetic crosslinking particle source; a vacuum chamber that receives energetic crosslinking particles from the energetic crosslinking particle source; a membrane that transmits the energetic crosslinking particles; and a sample chamber that: receives a liquid composition that includes a solvent and polymers, the polymers including a cross-linkable moiety subjected to the energetic crosslinking particles such that portions of the polymers proximate to the cross-linkable moieties subjected to the energetic crosslinking particles crosslink to form a solid crosslinked polymer structure, wherein the membrane isolates a vacuum of the vacuum chamber from vapor of the liquid composition in the sample chamber.

Build material handling unit (2) for a powder module (3) for an apparatus for additively manufacturing three-dimensional objects, which apparatus is adapted to successively layerwise selectively irradiate and consolidate layers of a build material (4) which can be consolidated by means of an energy source, wherein the build material handling unit (2) is coupled or can be coupled with a powder module (3), wherein the build material handling unit (2) is adapted to level and/or compact a volume of build material (4) arranged inside a powder chamber (5) of the powder module (3) by controlling the gas pressure inside the powder chamber (5).

In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2.sup.N vertex classifications. The azimuthal angles and the 2.sup.N vertex classifications are used to map L dimensional images into 0 dimensional images.