System and method for learning-guided electron microscopy
A system and method is provided for rapidly collecting high quality images of a specimen through controlling a re-focusable beam of an electron microscope. An intelligent acquisition system instructs the electron microscope to perform an initial low-resolution scan of a sample. A low-resolution image of the sample is received by the intelligent acquisition system as scanned image information from the electron microscope. The intelligent acquisition system then determines regions of interest within the low-resolution image and instructs the electron microscope to perform a high-resolution scan of the sample, only in areas of the sample corresponding to the determined regions of interest or portions of the determined regions of interest, so that other regions within the sample are not scanned at high-resolution. The intelligent acquisition system then reconstructs an image using the collected high-resolution scan pixels and pixels in the received low-resolution image.
1. A method for rapidly collecting high quality images of a specimen through controlling a re-focusable beam of an electron microscope, wherein the method comprises the steps of:
instructing the electron microscope to perform an initial low-resolution scan of a sample;
receiving a low-resolution image of the sample as scanned image information from the electron microscope;
determining regions of interest within the low-resolution image; and
instructing the electron microscope to perform a high-resolution scan of the sample, only in areas of the sample corresponding to the determined regions of interest, so that other regions within the sample are not scanned at high-resolution,
further comprising the step of applying a reconstruction model to the received low-resolution image based on a learning based method, where an input to a deep neural network is the low-resolution image and a target is a high-resolution image.
2. A method for rapidly collecting high quality images of a specimen through controlling a re-focusable beam of an electron microscope, wherein the method comprises the steps of:
instructing the electron microscope to perform an initial low-resolution scan of a sample;
receiving a low-resolution image of the sample as scanned image information from the electron microscope;
determining regions of interest within the low-resolution image; and
instructing the electron microscope to perform a high-resolution scan of the sample, only in areas of the sample corresponding to the determined regions of interest, so that other regions within the sample are not scanned at high-resolution, wherein the step of determining a region of interest further comprises a region of interest segmentation network being trained on full-resolution electron microscope images.
3. The method of claim 2 , wherein the segmentation network is trained on a training dataset provided before the step of instructing the electron microscope to perform an initial low-resolution scan of a sample.
4. The method of claim 3 , further comprising the step of storing resulting parameters.