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A Novel High Resolution, Wide-Field microscopy System for Histology Slide and Fresh Tissue Imaging using Polarized Light
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|Title: ||A Novel High Resolution, Wide-Field microscopy System for Histology Slide and Fresh Tissue Imaging using Polarized Light|
|Authors: ||Jhaveri, Sankhesh|
|Keywords: ||wide-field microscopy;polarised light;optical imaging;digital image correlation|
|Issue Date: ||14-May-2008|
|Abstract: ||Knowledge of the complex fiber structures of soft tissues can lead to greater understanding of basic structure-function relationships, and potentially, to improvements in tissue engineered constructs and micro-repair techniques.
Unfortunately, imaging these structures in fresh, whole-tissue samples is difficult, mainly because current microscopes are designed for small-scale, narrow field imaging of thin, slide-mounted specimens. These systems depend on high-precision motorized (using expensive servo motors) stage positioning to make a montage of image tiles. However, they are time consuming requiring a large number of image tiles. The goal of this project was to develop a high speed imaging system at low cost-capable of imaging thicker, fresh tissue samples as well as prepared slides using both, normal and polarized light. For imaging thicker specimens, an ‘open stage system’ with variable control on the Z axis, in
addition to X and Y axis control, is incorporated to maintain focus. The system uses a low-precision, two stepper motor positioning system, maintaining sub-pixel accuracy via a novel image correlation and registration algorithm. A third stepper motor controlling the fine
focus knob enables the Z axis control.
The software consists of two basic components: (1) a graphical user interface (GUI) programmed in Visual Basic .NET for camera and stage motor control, and (2) a “tiling/stitching” algorithm programmed in Matlab. The tiling program
also incorporates distortion and luminosity correction algorithms. Autofocus is achieved using a novel edge-based focusing algorithm. Current work is ongoing to optimize the throughput, speed and accuracy of large scale 2D and 3D imaging.|
|Appears in Collections:||Drexel Research Day|
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