An environmental sensor may acquire data related to flux and energy of charged particles in an environment for using the data to determine, in substantially real time, whether the environment is conducive to an anomaly caused by the charged particles. The sensor may include an electrostatic analyzer structurally configured for charged particle detection, the electrostatic analyzer generating controllable electric fields to provide energy filtering of incoming charged particles, where, after filtering, the charged particles impact a charge multiplier to establish a detectable signal. The sensor may further include a plurality of silicon detector telescopes structurally configured to collectively detect electrons having energy within the range of about 100 electronvolts (eV) to about 5 mega-electronvolts (MeV) and to collectively detect protons having energy within the range of about 2 MeV to about 100 MeV.

Disclosed herein is a micro stage using a piezoelectric element that can be reliably operated even in a vacuum environment. In a particle column requiring a high precision, for example, a microelectronic column, the micro stage can be used as a stage with micro or nano degree precision for alignment of parts of the column, or for moving a sample, and so on.

Systems and methods for preparing a nanofluidic LCTEM cell are provided. An exemplary method includes coating a photoresist layer onto a top surface of a silicon nitride substrate; etching channels into the photoresist layer; depositing calcite into the etched channels; removing the photoresist; placing the cell on a holder; connecting a first end of an inlet line to the cell; connecting a second end of the inlet line to an ultrasound transducer configured to generate nanobubbles; and connecting an outlet line to the cell.

We describe a super-resolution optical microscopy technique in which a sample is located on or adjacent to the planar surface of an aplanatic solid immersion lens and placed in a cryogenic environment.

This disclosure is directed to solutions of detecting and classifying wafer defects using machine learning techniques. The solutions take only one coarse resolution digital microscope image of a target wafer, and use machine learning techniques to process the coarse SEM image to review and classify a defect on the target wafer. Because only one coarse SEM image of the wafer is needed, the defect review and classification throughput and efficiency are improved. Further, the techniques are not distractive and may be integrated with other defect detecting and classification techniques.

A method and apparatus are provided for aligning a sample in a charged particle beam system. The charged particle beam is directed toward the sample to obtain a sample diffraction pattern. The sample diffraction pattern is compared with reference diffraction patterns having known misalignments to determine which reference pattern most closely matches the sample pattern. The known alignment of the best-matching reference diffraction pattern is used to correct the tilt of the sample. The “patterns” compared can be lists of bright spots with corresponding intensities rather than images.

A detection module that includes a readout circuit and detector having a group of sensing elements. The group is configured to detect multiple beams. The multiple beams resulted from an illumination of a substrate, by an illumination module, by multiple electron beams. The readout circuit is configured to: (a) receive selection information for selecting multiple selected sub-groups of sensing elements; wherein the group of sensing elements comprises, in addition to the multiple selected sub-groups of sensing elements, a plurality of non-selected sensing elements; (b) ignore detection signals provided from the plurality of non-selected sensing elements, and (c) generate, for each selected sub-group of sensing elements, a sensing result to provide multiple sensing results that correspond to the multiple beams; and wherein the selected sub-groups of sensing elements are selected in response to at least one working condition of the illumination module.

Provided herein in an apparatus, including a substrate; a functional layer, wherein the functional layer has a composition characteristic of a workpiece of an analytical apparatus; and pre-determined features configured to calibrate the analytical apparatus. Also provided herein is an apparatus, including a functional layer overlying a substrate; and pre-determined features for calibration of an analytical apparatus configured to measure the surface of a workpiece, wherein the functional layer has a composition similar to the workpiece. Also provided herein is a method, including providing a lithographic calibration standard having a functional layer to an analytical apparatus, wherein the functional layer has a composition characteristic of a workpiece of the analytical apparatus; providing calibration standard specifications to a computer interfaced with the analytical apparatus; and calibrating the analytical apparatus in accordance with calibration standard readings and the calibration standard specifications.

The purpose of the present invention is to provide a pattern matching device and computer program that carry out highly accurate positioning even if edge positions and numbers change. The present invention proposes a computer program and a pattern matching device wherein a plurality of edges included in first pattern data to be matched and a plurality of edges included in second pattern data to be matched with the first pattern data are associated, a plurality of different association combinations are prepared, the plurality of association combinations are evaluated using index values for the plurality of edges, and matching processing is carried out using the association combinations selected through the evaluation.

A grid assembly for cryo-electron microscopy may be fabricated using standard nanofabrication processes. The grid assembly may comprise two support members, each support member comprising a silicon substrate coated with an electron-transparent silicon nitride layer. These two support members are positioned together with the silicon nitride layers facing each other with a rigid spacer layer disposed therebetween. The rigid spacer layer defines one or more chambers in which a biological sample may be provided and fast frozen with a high degree of control of the ice thickness.