TILED DATA RECONSTRUCTION AND CORRECTION ASHWINI NIKKAM JITHU JOSE SHRAVYA RAO 1

INTRODUCTION When a large biological specimen has to be pictured in high resolution, it must be done in tiles. Tiles must be fit or stitched together to form one image. Overlap between each tile and its neighbors. 2

OUR GOAL OLYMPUS Data Conversion Accurately stitch multiple images Correct the brightness differences across the image 3

BIO-FORMAT IMPORTER Bio-format Importer is a plugIn to load images into Fiji or ImageJ. Opens proprietary formats that contains batches of images and converts into OME data model. 4

OLYMPUS DATA CONVERSION Approach: A custom plugIn that calls the Bio-formats Importer PlugIn The custom plugIn launches the Bio- format importer to select and read the images Converts and saves images in.tiff format 5

OLYMPUS DATA CONVERSION PLUGIN 6

OLYMPUS DATA CONVERSION 7

STITCHING OF IMAGES Stitching PlugIn is used to reconstruct big images from arbitrary number of tiled input images. Stitching has two plugIns: 1.Pairwise stitching 2.Grid/Collection stitching 8

STITCHING OF IMAGES Pairwise stitching –Stitches, loads two images loads and saves to hard disk. Grid/collection stitching- Stitches an arbitrary collection or grid images(2d,3d,4d,5d) of same type. 9

STITCHING OF IMAGES 10

STITCHING OF IMAGES 11

STITCHING OF IMAGES 12

CORRECTING BRIGHTNESS 13

CORRECTING BRIGHTNESS 14

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THANK YOU 16