Multichannel analytics development
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=August 2011= | =August 2011= | ||
+ | The Roysam lab focused on pipeline integration in order to work out kinks in the flow. | ||
+ | |||
+ | == Image Preprocessing Additions == | ||
− | + | *A background subtraction step to remove the low-frequency noise and large imaging artifacts from the raw images. | |
+ | *A normalization step to equalize foreground contrast and correct for changes in overall brightness as a function of depth. | ||
− | + | These additions allowed us to montage a few data sets which had previously defied automated registration. | |
== Tiling Functions for Microglia Tracing and Nuclei Segmentation: == | == Tiling Functions for Microglia Tracing and Nuclei Segmentation: == | ||
*Montage can be split into smaller tiles for processing. | *Montage can be split into smaller tiles for processing. | ||
− | *Workflow of individual tiles can be distributed | + | *Workflow of individual tiles can be distributed more easily: |
− | **Tracing | + | **Tracing microglial tiles |
− | ** | + | **Segmentation and classification of nuclei tiles |
− | *Resulting | + | *Resulting files can be stitched back into global coordinates automatically, since the output of each tile only needs a static translation. |
== Soma Detection and Segmentation Improvements == | == Soma Detection and Segmentation Improvements == | ||
− | * | + | *Bug: previous method of morphological functions on the microglia channel missed some somata. |
− | * | + | *Fix: combining the DAPI channel with the microglia channel reduced extrasomatic noise, allowing us to use more relaxed parameters to identify somata. |
Revision as of 16:20, 31 August 2011
Contents |
August 2011
The Roysam lab focused on pipeline integration in order to work out kinks in the flow.
Image Preprocessing Additions
- A background subtraction step to remove the low-frequency noise and large imaging artifacts from the raw images.
- A normalization step to equalize foreground contrast and correct for changes in overall brightness as a function of depth.
These additions allowed us to montage a few data sets which had previously defied automated registration.
Tiling Functions for Microglia Tracing and Nuclei Segmentation:
- Montage can be split into smaller tiles for processing.
- Workflow of individual tiles can be distributed more easily:
- Tracing microglial tiles
- Segmentation and classification of nuclei tiles
- Resulting files can be stitched back into global coordinates automatically, since the output of each tile only needs a static translation.
Soma Detection and Segmentation Improvements
- Bug: previous method of morphological functions on the microglia channel missed some somata.
- Fix: combining the DAPI channel with the microglia channel reduced extrasomatic noise, allowing us to use more relaxed parameters to identify somata.