A focused ion beam apparatus (100) includes: a focused ion beam lens column (20); a sample table (51); a sample stage (50); a memory (6M) configured to store in advance three-dimensional data on the sample table and an irradiation axis of the focused ion beam, the three-dimensional data being associated with stage coordinates of the sample stage; a display (7); and a display controller (6A) configured to cause the display to display a virtual positional relationship between the sample table (51v) and the irradiation axis (20Av) of the focused ion beam, which is exhibited when the sample stage is operated to move the sample table to a predetermined position, based on the three-dimensional data on the sample table and the irradiation axis of the focused ion beam.

To accomplish fast automated micro-sampling, provided is a charged particle beam apparatus, which is configured to automatically fabricate a sample piece from a sample, the charged particle beam apparatus including: a charged particle beam irradiation optical system configured to radiate a charged particle beam; a sample stage configured to move the sample that is placed on the sample stage; a sample piece transportation unit configured to hold and convey the sample piece separated and extracted from the sample; a holder fixing base configured to hold a sample piece holder to which the sample piece is transported; and a computer configured to perform position control with respect to a second target, based on a machine learning model in which first information including a first image of a first target is learned, and on second information including a second image, which is obtained by irradiation with the charged particle beam.

To stabilize automated MS, provided is a charged particle beam apparatus, which is configured to automatically fabricate a sample piece from a sample, the charged particle beam apparatus including: a charged particle beam irradiation optical system configured to radiate a charged particle beam; a sample stage configured to move the sample that is placed on the sample stage; a sample piece transportation unit configured to hold and convey the sample piece separated and extracted from the sample; a holder fixing base configured to hold a sample piece holder to which the sample piece is transported; and a computer configured to perform control of a position with respect to a target, based on: a result of second determination about the position, which is executed depending on a result of first determination about the position; and information including an image that is obtained by irradiation with the charged particle beam.

An automatic sample preparation apparatus that automatically prepares a sample piece from a sample includes: a focused ion beam irradiation optical system configured to irradiate a focused ion beam; an electron beam irradiation optical system configured to irradiate an electron beam from a direction different from a direction of the focused ion beam; a sample piece transfer device configured to hold and transfer the sample piece separated and extracted from the sample; a detector configured to detect secondary charged particles emitted from an irradiation object by irradiating the irradiation object with the focused ion beam and/or the electron beam; and a computer configured to recognize a position of the sample piece transfer device by image-recognition using an image data of the focused ion beam and the electron beam generated by irradiating the sample piece transfer device with the focused ion beam and the electron beam, and drive the transfer device.

To automatically repeat an operation of isolating a sample piece, which is formed by processing a sample with an ion beam, and transferring the sample piece to a sample piece holder, a charged particle beam device includes a computer configured to perform control so that, without rotating a needle with which the sample piece is fixed to the sample piece holder, a deposition film deposited on the needle is irradiated with a charged particle beam from a charged particle beam irradiation optical system.

Techniques are described that facilitate automated extraction of lamellae and attaching the lamellae to sample grids for viewing on transmission electron microscopes. Some embodiments of the invention involve the use of machine vision to determine the positions of the lamella, the probe, and/or the TEM grid to guide the attachment of the probe to the lamella and the attachment of the lamella to the TEM grid. Techniques that facilitate the use of machine vision include shaping a probe tip so that its position can be readily recognized by image recognition software. Image subtraction techniques can be used to determine the position of the lamellae attached to the probe for moving the lamella to the TEM grid for attachment. In some embodiments, reference structures are milled on the probe or on the lamella to facilitate image recognition.

The invention described herein relates to a method for controlling a unit of a particle beam device for imaging, analyzing and/or processing an object. Moreover, the invention described herein relates to a particle beam device for carrying out the method. The method comprises identifying at least one part of at least one hand (134) of a user or at least one complete hand (134) of a user by means of an identification unit (130, 131), wherein the identification unit (130, 131) is at least one of: (i) a first camera unit (130), (ii) a first touchless motion sensor (131) or (iii) a first wireless motion sensor; tracking an absolute movement and/or a relative movement of the at least one part of the at least one hand (134) of the user or the at least one complete hand (134) of the user by means of a tracking unit (130, 131), wherein the tracking unit (130, 131) is at least one of: (i) a second camera unit (130), (ii) a second touchless motion sensor (131) or (iii) a second wireless motion sensor; transforming the movement of the at least one part of the at least one hand (134) of the user or the at least one complete hand (134) of the user into a command for a control of the unit of the particle beam device by means of a transformation unit (128); and providing the control of the unit of the particle beam device by means of the command, wherein the command is used as an input in a control unit for controlling the unit of the particle beam device.

A probe includes a solid elongate body disposed along a long axis of the probe and terminating in a probe tip, and a solid planar beveled surface at or adjacent an end of the probe tip formed at a non-zero beveled angle relative to a normal of the long axis of the probe, The solid planar beveled surface is configured to impart Van der Waals attractive force to a sample surface positioned immediately adjacent the solid beveled surface of the probe so that the sample can be detached from and lifted from the bulk material and transported to a grid for investigation. Various embodiments of the beveled surface are described, including an elliptical probe tip surface beveled between 10 and 45 degrees to the normal to the probe long axis and planar surfaces formed in the sides of the probe body that are parallel to the probe long axis.

An apparatus and method for a large-scale high-throughput quantitative characterization and three-dimensional reconstruction of a material structure. The apparatus having a glow discharge sputtering unit, a sample transfer device, a scanning electron microscope unit and a GPU computer workstation. The glow discharge sputtering unit can achieve large size (cm order), nearly flat and fast sample preparation, and controllable achieve layer-by-layer ablation preparation along the depth direction of the sample surface; rapid scanning electron microscopy (SEM) can achieve large-scale and high-throughput acquisition of sample characteristic maps. The sample transfer device is responsible for transferring the sample between the glow discharge sputtering source and the scanning electron microscope in an accurately positioning manner. The GPU computer workstation performs splicing, processing, recognition and quantitative distribution characterization on the acquired sample characteristic maps, and carries out three-dimensional reconstruction of the structure of the sample prepared by layer-by-layer sputtering.

An apparatus and method for a large-scale high-throughput quantitative characterization and three-dimensional reconstruction of a material structure. The apparatus having a glow discharge sputtering unit, a sample transfer device, a scanning electron microscope unit and a GPU computer workstation. The glow discharge sputtering unit can achieve large size (cm order), nearly flat and fast sample preparation, and controllable achieve layer-by-layer ablation preparation along the depth direction of the sample surface; rapid scanning electron microscopy (SEM) can achieve large-scale and high-throughput acquisition of sample characteristic maps. The sample transfer device is responsible for transferring the sample between the glow discharge sputtering source and the scanning electron microscope in an accurately positioning manner. The GPU computer workstation performs splicing, processing, recognition and quantitative distribution characterization on the acquired sample characteristic maps, and carries out three-dimensional reconstruction of the structure of the sample prepared by layer-by-layer sputtering.