FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310793419> ?p ?o ?g. }

• W4310793419 abstract "Large-scale three-dimensional (3D) microscopy acquisitions fre-quently create terabytes of image data at high resolution and magni-fication. Imaging large specimens at high magnifications requires acquiring 3D overlapping image stacks as tiles arranged on a two-dimensional (2D) grid that must subsequently be aligned and fused into a single 3D volume. Due to their sheer size, aligning many overlapping gigabyte-sized 3D tiles in parallel and at full resolution is memory intensive and often I/O bound. Current techniques trade accuracy for scalability, perform alignment on subsampled images, and require additional postprocess algorithms to refine the alignment quality, usually with high computational requirements. One common solution to the memory problem is to subdivide the overlap region into smaller chunks (sub-blocks) and align the sub-block pairs in parallel, choosing the pair with the most reliable alignment to determine the global transformation. Yet aligning all sub-block pairs at full resolution remains computationally expensive. The key to quickly developing a fast, high-quality, low-memory solution is to identify a single or a small set of sub-blocks that give good alignment at full resolution without touching all the overlapping data. In this paper, we present a new iterative approach that leverages coarse resolution alignments to progressively refine and align only the promising candidates at finer resolutions, thereby aligning only a small user-defined number of sub-blocks at full resolution to determine the lowest error transformation between pairwise overlapping tiles. Our progressive approach is 2.6x faster than the state of the art, requires less than 450MB of peak RAM (per parallel thread), and offers a higher quality alignment without the need for additional postprocessing refinement steps to correct for alignment errors." @default.
• W4310793419 created "2022-12-18" @default.
• W4310793419 creator A5009460413 @default.
• W4310793419 creator A5019902487 @default.
• W4310793419 creator A5034071502 @default.
• W4310793419 creator A5047677160 @default.
• W4310793419 creator A5059119847 @default.
• W4310793419 creator A5072475394 @default.
• W4310793419 creator A5087199227 @default.
• W4310793419 date "2022-10-16" @default.
• W4310793419 modified "2023-09-27" @default.
• W4310793419 title "High-Quality Progressive Alignment of Large 3D Microscopy Data" @default.
• W4310793419 cites W1677409904 @default.
• W4310793419 cites W1832233747 @default.
• W4310793419 cites W1966540157 @default.
• W4310793419 cites W1977691361 @default.
• W4310793419 cites W1982753412 @default.
• W4310793419 cites W2022235653 @default.
• W4310793419 cites W2029679244 @default.
• W4310793419 cites W2036984232 @default.
• W4310793419 cites W2054484909 @default.
• W4310793419 cites W2101195175 @default.
• W4310793419 cites W2102182691 @default.
• W4310793419 cites W2103174519 @default.
• W4310793419 cites W2106237508 @default.
• W4310793419 cites W2121894025 @default.
• W4310793419 cites W2128366179 @default.
• W4310793419 cites W2131938193 @default.
• W4310793419 cites W2136162648 @default.
• W4310793419 cites W2137285991 @default.
• W4310793419 cites W2137796516 @default.
• W4310793419 cites W2138607476 @default.
• W4310793419 cites W2143425433 @default.
• W4310793419 cites W2144594079 @default.
• W4310793419 cites W2147555557 @default.
• W4310793419 cites W2150137371 @default.
• W4310793419 cites W2151103935 @default.
• W4310793419 cites W2158453800 @default.
• W4310793419 cites W2162280291 @default.
• W4310793419 cites W2163009106 @default.
• W4310793419 cites W2169042200 @default.
• W4310793419 cites W2171447090 @default.
• W4310793419 cites W2171490473 @default.
• W4310793419 cites W2948296917 @default.
• W4310793419 cites W2963917313 @default.
• W4310793419 cites W2966422204 @default.
• W4310793419 doi "https://doi.org/10.1109/ldav57265.2022.9966406" @default.
• W4310793419 hasPublicationYear "2022" @default.
• W4310793419 type Work @default.
• W4310793419 citedByCount "0" @default.
• W4310793419 crossrefType "proceedings-article" @default.
• W4310793419 hasAuthorship W4310793419A5009460413 @default.
• W4310793419 hasAuthorship W4310793419A5019902487 @default.
• W4310793419 hasAuthorship W4310793419A5034071502 @default.
• W4310793419 hasAuthorship W4310793419A5047677160 @default.
• W4310793419 hasAuthorship W4310793419A5059119847 @default.
• W4310793419 hasAuthorship W4310793419A5072475394 @default.
• W4310793419 hasAuthorship W4310793419A5087199227 @default.
• W4310793419 hasConcept C104317684 @default.
• W4310793419 hasConcept C111919701 @default.
• W4310793419 hasConcept C154945302 @default.
• W4310793419 hasConcept C162319229 @default.
• W4310793419 hasConcept C177264268 @default.
• W4310793419 hasConcept C184898388 @default.
• W4310793419 hasConcept C185592680 @default.
• W4310793419 hasConcept C199360897 @default.
• W4310793419 hasConcept C199683683 @default.
• W4310793419 hasConcept C204241405 @default.
• W4310793419 hasConcept C2524010 @default.
• W4310793419 hasConcept C2777210771 @default.
• W4310793419 hasConcept C31972630 @default.
• W4310793419 hasConcept C33923547 @default.
• W4310793419 hasConcept C41008148 @default.
• W4310793419 hasConcept C459310 @default.
• W4310793419 hasConcept C48044578 @default.
• W4310793419 hasConcept C55493867 @default.
• W4310793419 hasConcept C77088390 @default.
• W4310793419 hasConceptScore W4310793419C104317684 @default.
• W4310793419 hasConceptScore W4310793419C111919701 @default.
• W4310793419 hasConceptScore W4310793419C154945302 @default.
• W4310793419 hasConceptScore W4310793419C162319229 @default.
• W4310793419 hasConceptScore W4310793419C177264268 @default.
• W4310793419 hasConceptScore W4310793419C184898388 @default.
• W4310793419 hasConceptScore W4310793419C185592680 @default.
• W4310793419 hasConceptScore W4310793419C199360897 @default.
• W4310793419 hasConceptScore W4310793419C199683683 @default.
• W4310793419 hasConceptScore W4310793419C204241405 @default.
• W4310793419 hasConceptScore W4310793419C2524010 @default.
• W4310793419 hasConceptScore W4310793419C2777210771 @default.
• W4310793419 hasConceptScore W4310793419C31972630 @default.
• W4310793419 hasConceptScore W4310793419C33923547 @default.
• W4310793419 hasConceptScore W4310793419C41008148 @default.
• W4310793419 hasConceptScore W4310793419C459310 @default.
• W4310793419 hasConceptScore W4310793419C48044578 @default.
• W4310793419 hasConceptScore W4310793419C55493867 @default.
• W4310793419 hasConceptScore W4310793419C77088390 @default.
• W4310793419 hasLocation W43107934191 @default.
• W4310793419 hasOpenAccess W4310793419 @default.
• W4310793419 hasPrimaryLocation W43107934191 @default.
• W4310793419 hasRelatedWork W1985759455 @default.

• next