Results 221 to 230 of about 1,025,330 (259)
Abstract Premise Due to their small size and lack of easily visible macroscopic characters, the identification of cryptogam species has always been challenging. Here, the use of a machine learning computer vision method is explored for the identification of species of lichens and bryophytes from Australian biocrusts.
Callum Lawler +3 more
wiley +1 more source
Preface to the theme issue 'Uncertainty quantification for healthcare and biological systems (Part 2)'. [PDF]
Kimpton LM +3 more
europepmc +1 more source
Abstract Premise Analyzing structural changes along the length of an organ provides insight into its development. However, traditional histological methods are limited by intensive procedures and size restrictions. Micro‐computed tomography (microCT) enables non‐destructive internal imaging along the length of an organ, but high cost, technical ...
Jacob S. Suissa, Giselle Reyes
wiley +1 more source
Limitations of p50 as a measure of seed longevity in comparative studies and the way forward
Abstract Premise Studies comparing seed longevity between species or genotypes commonly measure seed longevity as the time it takes for seed lot viability to drop to 50% (p50). However, p50 is influenced by the initial viability. Although standard protocols for comparative studies thus recommend using seed lots with similar and high initial viability (>
Lea Klepka +3 more
wiley +1 more source
Abstract Premise Salt marshes in the North Atlantic United States are dominated by grasses from the genus Sporobolus, which are perennial C4 plants known for tolerating saline, anoxic, and flooded coastal sediments. Establishing in vitro cultures of Sporobolus species remains a major challenge due to frequent seed contamination from ergot and ...
Elena L. Peredo +2 more
wiley +1 more source

