Skip to content
Free planNo credit card requiredStart writing

dataset · Figshare · 2019

Data_Sheet_1_Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images.pdf

Alessandro Bria (6793319), Massimo Bernaschi (75214), Massimiliano Guarrasi (6793322), Giulio Iannello (4419733)

Cited by 0Open access

Abstract

<p>Due to the limited field of view of the microscopes, acquisitions of macroscopic specimens require many parallel image stacks to cover the whole volume of interest. Overlapping regions are introduced among stacks in order to make it possible automatic alignment by means of a 3D stitching tool. Since state-of-the-art microscopes coupled with chemical clearing procedures can generate 3D images whose size exceeds the Terabyte, parallelization is required to keep stitching time within acceptable limits. In the present paper we discuss how multi-level parallelization reduces the execution times of TeraStitcher, a tool designed to deal with very large images. Two algorithms performing dataset partition for efficient parallelization in a transparent way are presented together with experimental results proving the effectiveness of the approach that achieves a speedup close to 300×, when both coarse- and fine-grained parallelism are exploited. Multi-level parallelization of TeraStitcher led to a significant reduction of processing times with no changes in the user interface, and with no additional effort required for the maintenance of code.</p>

Cite this paper

APA 7

(6793319), A. B., (75214), M. B., (6793322), M. G., & (4419733), G. I. (2019). Data_Sheet_1_Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images.pdf. Figshare. https://doi.org/10.3389/fninf.2019.00041.s001

MLA 9

(6793319), Alessandro Bria, et al. “Data_Sheet_1_Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images.pdf.” Figshare, 2019, https://doi.org/10.3389/fninf.2019.00041.s001.

Chicago

(6793319), Alessandro Bria, Massimo Bernaschi (75214), Massimiliano Guarrasi (6793322), and Giulio Iannello (4419733). 2019. “Data_Sheet_1_Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images.pdf.” Figshare. https://doi.org/10.3389/fninf.2019.00041.s001.

Harvard

(6793319), A.B. et al. (2019) ‘Data_Sheet_1_Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images.pdf’, Figshare. Available at: https://doi.org/10.3389/fninf.2019.00041.s001.

BibTeX
@misc{67933192019data,
  title = {{Data_Sheet_1_Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images.pdf}},
  author = {(6793319), Alessandro Bria and (75214), Massimo Bernaschi and (6793322), Massimiliano Guarrasi and (4419733), Giulio Iannello},
  journal = {Figshare},
  year = {2019},
  doi = {10.3389/fninf.2019.00041.s001}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.