scholarly journals Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies

2019 ◽  
Author(s):  
Jordan Ubbens ◽  
Mikolaj Cieslak ◽  
Przemyslaw Prusinkiewicz ◽  
Ian Stavness
Keyword(s):  
Image Processing ◽  
Association Mapping ◽  
Stress Responses ◽  
Interspecific Cross ◽  
Response To Treatment ◽  
Resistance Factors ◽  
Complex Image ◽  
Latent Space ◽  
Model C ◽  
Candidate Loci

AbstractAssociation mapping studies have enabled researchers to identify candidate loci for many important environmental resistance factors, including agronomically relevant resistance traits in plants. However, traditional genome-by-environment studies such as these require a phenotyping pipeline which is capable of accurately and consistently measuring stress responses, typically in an automated high-throughput context using image processing. In this work, we present Latent Space Phenotyping (LSP), a novel phenotyping method which is able to automatically detect and quantify response to treatment directly from images. Using two synthetically generated image datasets, we first show that LSP is able to successfully recover the simulated QTL in both simple and complex synthetic imagery. We then demonstrate an example application of an interspecific cross of the model C4 grass Setaria. We propose LSP as an alternative to traditional image analysis methods for phenotyping, enabling association mapping studies without the need for engineering complex image processing pipelines.

scholarly journals Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Jordan Ubbens ◽  
Mikolaj Cieslak ◽  
Przemyslaw Prusinkiewicz ◽  
Isobel Parkin ◽  
Jana Ebersbach ◽  
...  
Keyword(s):  
Image Processing ◽  
Association Mapping ◽  
Stress Responses ◽  
Interspecific Cross ◽  
Response To Treatment ◽  
Brassica Napus L ◽  
Nested Association Mapping ◽  
Latent Space ◽  
Using Data ◽  
Candidate Loci

Association mapping studies have enabled researchers to identify candidate loci for many important environmental tolerance factors, including agronomically relevant tolerance traits in plants. However, traditional genome-by-environment studies such as these require a phenotyping pipeline which is capable of accurately measuring stress responses, typically in an automated high-throughput context using image processing. In this work, we present Latent Space Phenotyping (LSP), a novel phenotyping method which is able to automatically detect and quantify response-to-treatment directly from images. We demonstrate example applications using data from an interspecific cross of the model C4 grass Setaria, a diversity panel of sorghum (S. bicolor), and the founder panel for a nested association mapping population of canola (Brassica napus L.). Using two synthetically generated image datasets, we then show that LSP is able to successfully recover the simulated QTL in both simple and complex synthetic imagery. We propose LSP as an alternative to traditional image analysis methods for phenotyping, enabling the phenotyping of arbitrary and potentially complex response traits without the need for engineering-complicated image-processing pipelines.

Shifting perspectives: method, media and the complex image

1998 ◽  
Vol 10 (1-3) ◽  
pp. 100-108 ◽  
Author(s):  
Alicia Colson ◽  
Ross Parry
Keyword(s):  
Image Processing ◽  
Three Dimensional ◽  
Geographical Location ◽  
Spatial Relationship ◽  
Two Dimensional ◽  
Dimensional Approach ◽  
Complex Image ◽  
Cultural Resonance

This article argues that the analysis of a threedimensional image demanded a three-dimensional approach. The authors realise that discussions of images and image processing inveterately conceptualise representation as being flat, static, and finite. The authors recognise the need for a fresh acuteness to three-dimensionality as a meaningful – although problematic – element of visual sources. Two dramatically different examples are used to expose the shortcomings of an ingrained two-dimensional approach and to facilitate a demonstration of how modern (digital) techniques could sanction new historical/anthropological perspectives on subjects that have become all too familiar. Each example could not be more different in their temporal and geographical location, their cultural resonance, and their historiography. However, in both these visual spectacles meaning is polysemic. It is dependent upon the viewer's spatial relationship to the artifice as well as the spirito-intellectual viewer within the community. The authors postulate that the multi- faceted and multi-layered arrangement of meaning in a complex image could be assessed by working beyond the limitations of the two-dimensional methodological paradigm and by using methods and media that accommodated this type of interconnectivity and representation.

scholarly journals The experience of manuscripts digital restoration in SPSTL SB RAS

Bibliosphere ◽  
2017 ◽  
pp. 101-104
Author(s):  
A. V. Shabanov
Keyword(s):  
Image Processing ◽  
Digital Library ◽  
The State ◽  
High Quality ◽  
Complex Image ◽  
Library Book ◽  
Digital Restoration

The article is devoted to manuscripts digital restoration of the Siberian holdings. First it describes the state of digital library «Book monuments of Siberia», and main steps of creating high-quality digital copies. Part of this library is available at www.spsl.nsc.ru/rbook. Then two examples of complex image processing - digital restoration - are given.

scholarly journals Comprehensive transcriptome resource for response to phytohormone-induced signaling in Capsicum annuum L.

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Junesung Lee ◽  
Jae-Young Nam ◽  
Hakgi Jang ◽  
Nayoung Kim ◽  
Yong-Min Kim ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Stress Responses ◽  
Molecular Networks ◽  
Response To Treatment ◽  
Pepper Plant ◽  
Transcriptome Data ◽  
Biotic And Abiotic Stress ◽  
Data Description ◽  
Growth Development ◽  
Transcriptome Resource

Abstract Objectives Phytohormones are small signaling molecules with crucial roles in plant growth, development, and environmental adaptation to biotic and abiotic stress responses. Despite several previously published molecular studies focused on plant hormones, our understanding of the transcriptome induced by phytohormones remains unclear, especially in major crops. Here, we aimed to provide transcriptome dataset using RNA sequencing for phytohormone-induced signaling in plant. Data description We used high-throughput RNA sequencing profiling to investigate the pepper plant response to treatment with four major phytohormones (salicylic acid, jasmonic acid, ethylene, and abscisic acid). This dataset yielded 78 samples containing three biological replicates per six different time points for each treatment and the control, constituting 187.8 Gb of transcriptome data (2.4 Gb of each sample). This comprehensive parallel transcriptome data provides valuable information for understanding the relationships and molecular networks that regulate the expression of phytohormone-related genes involved in plant developments and environmental stress adaptation.

One Intelligent Video Surveillance System Based on DM642

2011 ◽  
Vol 474-476 ◽  
pp. 392-397
Author(s):  
Zhi Wei Tang ◽  
Xi Xuan Wu
Keyword(s):  
Image Processing ◽  
High Performance ◽  
Large Scale ◽  
Complex Image ◽  
Intelligent Video Surveillance System ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Intelligent Information ◽  
Hard Real Time ◽  
Video Input

This article introduces an intelligent surveillance distributed system based on TMS320DM642. The system platform has many functions, such as OSD (on screen display), analog video output, digital video output, Hard Disk, Ethernet and so on. DM64. User can set the rules via the management software. The video input from analog cameras and IP cameras can be processed by DM642 according to the rules. If any event happens which acts against the rules, alarm will be given. The system provides immediate, accurate and intelligent services for users. In order to realize the complex image processing algorithms on DM642, we optimize the algorithms based on DSP and propose a series of rapid image processing algorithms. The design of the project puts the emphasis on the feasibility of distributed high-performance processing from both hardware and software aspects, which may be easily applied to other large scale or hard real-time intelligent information processing.

scholarly journals Identification and Confirmation of Loci Associated With Canopy Wilting in Soybean Using Genome-Wide Association Mapping

2021 ◽  
Vol 12 ◽  
Author(s):  
Siva K. Chamarthi ◽  
Avjinder S. Kaler ◽  
Hussein Abdel-Haleem ◽  
Felix B. Fritschi ◽  
Jason D. Gillman ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Association Mapping ◽  
Candidate Genes ◽  
Stress Responses ◽  
Water Conservation ◽  
Production Systems ◽  
Block Design ◽  
Plant Stress ◽  
Significant Snps ◽  
Nucleotide Polymorphisms

Drought causes significant soybean [Glycine max (L.) Merr.] yield losses each year in rain-fed production systems of many regions. Genetic improvement of soybean for drought tolerance is a cost-effective approach to stabilize yield under rain-fed management. The objectives of this study were to confirm previously reported soybean loci and to identify novel loci associated with canopy wilting (CW) using a panel of 200 diverse maturity group (MG) IV accessions. These 200 accessions along with six checks were planted at six site-years using an augmented incomplete block design with three replications under irrigated and rain-fed treatments. Association mapping, using 34,680 single nucleotide polymorphisms (SNPs), identified 188 significant SNPs associated with CW that likely tagged 152 loci. This includes 87 SNPs coincident with previous studies that likely tagged 68 loci and 101 novel SNPs that likely tagged 84 loci. We also determined the ability of genomic estimated breeding values (GEBVs) from previous research studies to predict CW in different genotypes and environments. A positive relationship (P ≤ 0.05;0.37 ≤ r ≤ 0.5) was found between observed CW and GEBVs. In the vicinity of 188 significant SNPs, 183 candidate genes were identified for both coincident SNPs and novel SNPs. Among these 183 candidate genes, 57 SNPs were present within genes coding for proteins with biological functions involved in plant stress responses. These genes may be directly or indirectly associated with transpiration or water conservation. The confirmed genomic regions may be an important resource for pyramiding favorable alleles and, as candidates for genomic selection, enhancing soybean drought tolerance.

scholarly journals Artistic Style Meets Artificial Intelligence

2021 ◽  
Author(s):  
Suk Kyoung Choi ◽  
Steve DiPaola ◽  
Hannu Töyrylä
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Image Processing ◽  
Lived Experience ◽  
Creative Expression ◽  
Visual Artists ◽  
Image Transformation ◽  
Artistic Style ◽  
Latent Space ◽  
Recent Developments

Recent developments in neural network image processing motivate the question, how these technologies might better serve visual artists. Research goals to date have largely focused on either pastiche interpretations of what is framed as artistic “style” or seek to divulge heretofore unimaginable dimensions of algorithmic “latent space,” but have failed to address the process an artist might actually pursue, when engaged in the reflective act of developing an image from imagination and lived experience. The tools, in other words, are constituted in research demonstrations rather than as tools of creative expression. In this article, the authors explore the phenomenology of the creative environment afforded by artificially intelligent image transformation and generation, drawn from autoethnographic reviews of the authors’ individual approaches to artificial intelligence (AI) art. They offer a post-phenomenology of “neural media” such that visual artists may begin to work with AI technologies in ways that support naturalistic processes of thinking about and interacting with computationally mediated interactive creation.

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