Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.

Employing computer vision to extract useful information from images and videos is becoming a key technique for identifying phenotypic changes in plants. Here, we review the emerging aspects of computer vision for automated plant phenotyping. Recent advances in image analysis empowered by machine learning-based techniques, including convolutional neural network-based modeling, have expanded their application to assist high-throughput plant phenotyping.

A constant-time algorithm for finding neighbors in quadtrees.

Quadtrees and linear quadtrees are well-known hierarchical data structures to represent square images of size 2(r) x 2(r). Finding the neighbors of a specific leaf node is a fundamental operation for many algorithms that manipulate quadtree data structures. In quadtrees, finding neighbors takes O(r) computational time for the worst case, where r is the resolution (or height) of a given quadtree.

Colorimetric multiplexed immunoassay using specific aggregation of antigenic peptide-modified luminous nanoparticles.

A rapid immunoassay capable of detecting specific antibodies in one-step procedure is described. Antigenic peptides with cationic (KKKKC) or anionic (DDDDC) pentamer tail were immobilized on luminous nanospheres of 40 nm diameter (Ø) through cystamine and bifunctional linker molecules under various conditions. The numbers of each peptide anchored to a sphere were 5.

Preparation of DNA-modified nanoparticles and preliminary study for colorimetric SNP analysis using their selective aggregations.

DNA-modified nanospheres were prepared by anchoring amino-terminated oligodeoxynucleotides (ODNs) with carboxylates onto a colored polystyrene sphere surface through amido bonds. About 220 ODN molecules were immobilized onto a nanosphere 40 nm in diameter. Preliminary studies using the microspheres with 1 microm diameter reveal that the specificity of hybridization was retained after modification.

Colorimetric SNP analysis using oligonucleotide-modified nanoparticles.

A point mutation in the p53 gene has been detected by means of fluorescence microscopy and fluorescent resonance energy transfer (FRET) through sequence selective aggregation of DNA-modified nanoparticles, in which fluorescent dyes were impregnated.