Abstract: A method of automated data acquisition for a transmission electron microscope, the method comprising: obtaining a reference image of a sample at a first magnification; for each of a first plurality of target locations identified in the reference image: steering an electron beam of the transmission electron microscope to the target location, obtaining a calibration image of the sample at a second magnification greater than the first magnification, and using image processing techniques to identify an apparent shift between an expected position of the target location in the calibration image and an observed position of the target location in the calibration image, training a non-linear model using the first plurality of target locations and the corresponding apparent shifts; based on the non-linear model, calculating a calibrated target location for a next target location; steering the electron beam to the calibrated target location and obtaining an image at a third magnification greater than the first magnifica

Abstract: A method of using a Transmission Charged Particle Microscope, comprising: Providing a specimen on a specimen holder; Using an illumination system to direct a beam of charged particles from a source onto said specimen; Using an imaging system to direct charged particles that are transmitted through the specimen onto a detector, further comprising the following actions: In an acquisition step, lasting a time interval T, using said detector in particle counting mode to register spatiotemporal data relating to individual particle detection incidences, and to output said spatiotemporal data in raw form, without assembly into an image frame; In a subsequent rendering step, assembling a final image from said spatiotemporal data, while performing a mathematical correction operation.

Abstract: When detecting particulate radiation, such as electrons, with a pixelated detector, a cloud of electron/hole pairs is formed in the detector. Using the signal caused by this cloud of electron/hole pairs, a position of the impact is estimated. When the size of the cloud is comparable to the pixel size, or much smaller, the estimated position shows a strong bias to the center of the pixel and the corners, as well to the middle of the borders. This hinders forming an image with super-resolution. By shifting the position or by attributing the electron to several sub-pixels this bias can be countered, resulting in a more truthful representation.

Abstract: A method of using a Transmission Charged Particle Microscope, comprising: Providing a specimen on a specimen holder; Using an illumination system to direct a beam of charged particles from a source onto said specimen; Using an imaging system to direct charged particles that are transmitted through the specimen onto a detector, further comprising the following actions: In an acquisition step, lasting a time interval T, using said detector in particle counting mode to register spatiotemporal data relating to individual particle detection incidences, and to output said spatiotemporal data in raw form, without assembly into an image frame; In a subsequent rendering step, assembling a final image from said spatiotemporal data, while performing a mathematical correction operation.

Abstract: When detecting particulate radiation, such as electrons, with a pixelated detector, a cloud of electron/hole pairs is formed in the detector. Using the signal caused by this cloud of electron/hole pairs, a position of the impact is estimated. When the size of the cloud is comparable to the pixel size, or much smaller, the estimated position shows a strong bias to the center of the pixel and the corners, as well to the middle of the borders. This hinders forming an image with super-resolution. By shifting the position or by attributing the electron to several sub-pixels this bias can be countered, resulting in a more truthful representation.

Abstract: When detecting particulate radiation, such as electrons, with a pixelated detector, a cloud of electron/hole pairs is formed in the detector. Using the signal caused by this cloud of electron/hole pairs, a position of the impact is estimated. When the size of the cloud is comparable to the pixel size, or much smaller, the estimated position shows a strong bias to the center of the pixel and the corners, as well to the middle of the borders. This hinders forming an image with super-resolution. By shifting the position or by attributing the electron to several sub-pixels this bias can be countered, resulting in a more truthful representation.

Abstract: When detecting particulate radiation, such as electrons, with a pixelated detector, a cloud of electron/hole pairs is formed in the detector. Using the signal caused by this cloud of electron/hole pairs a position of the impact is estimated. When the size of the cloud is comparable to the pixel size, or much smaller, the estimated position shows a strong bias to the center of the pixel and the corners, as well to the middle of the borders. This hinders forming an image with super-resolution. By shifting the position or by attributing the electron to several sub-pixels this bias can be countered, resulting in a more truthful representation.