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Leica LAS MultiStep

Image processing and analysis application

Overview

LAS MultiStep

LAS MultiStep is an optional module that when used with a Leica microscope, motorised scanning stage and digital camera, automatically acquires images at XY positions defined by a rectangular pattern. The camera can acquire images as soon as the stage has reached the specified position and halted. The images are stored to the hard drive in tiff, bmp or jpeg format and can be recalled individually for further analysis or stitched together to create an assembled overview mosaic image. Furthermore, the defined sequence and parameters that have been used during image capture can be saved and retrieved at a later date.

Key Features

  • The LAS MultiStep Module provides many benefits which include:
  • Total microscope and digitial camera control in a fully integrated manner.
  • Intuitive view of scan images through the sophisticated gallery from which images can be selected for closer inspection.
  • Live images can be annotated with calibration markers to provide a quick and easy guide to image size.
  • Scanning sequences and microscope settings can be saved and recalled to increase efficiency whilst saving valuable time.

LAS MultiStep Detailed Description

LAS MultiStep provides users with the opportunity to define scanning patterns specific to individual needs. This includes the ability to enter the dimensions of a specimen, establish the origin of the scanning pattern and set the magnification of the image, which in turn determines the number of fields acquired. Furthermore, the scanning pattern can be paused if the focal position needs adjusting or extending. During scanning analysis, LAS MultiStep enables users to correct the focus position through the ‘predictive focus’ functionality. Having manually focused a number of defined areas of a specimen, a ‘best fit of focus plane’ can then be calculated and used during subsequent analysis. Additionally, LAS MultiStep offers a reduction factor option so that large Mosaic images which are difficult to manipulate, can be reduced in size into more manageable dimensions.