BR112022010586A2 - Geração e uso de modelo preditivo de cultura de micrósporo - Google Patents
Geração e uso de modelo preditivo de cultura de micrósporoInfo
- Publication number
- BR112022010586A2 BR112022010586A2 BR112022010586A BR112022010586A BR112022010586A2 BR 112022010586 A2 BR112022010586 A2 BR 112022010586A2 BR 112022010586 A BR112022010586 A BR 112022010586A BR 112022010586 A BR112022010586 A BR 112022010586A BR 112022010586 A2 BR112022010586 A2 BR 112022010586A2
- Authority
- BR
- Brazil
- Prior art keywords
- cell
- predictive
- predict
- generation
- methods
- Prior art date
Links
- 238000000034 method Methods 0.000 abstract 3
- 230000018109 developmental process Effects 0.000 abstract 2
- 230000008668 cellular reprogramming Effects 0.000 abstract 1
- 150000001875 compounds Chemical class 0.000 abstract 1
- 235000013601 eggs Nutrition 0.000 abstract 1
- 238000003384 imaging method Methods 0.000 abstract 1
- 230000008672 reprogramming Effects 0.000 abstract 1
- 231100000331 toxic Toxicity 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/62—Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10064—Fluorescence image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10141—Special mode during image acquisition
- G06T2207/10152—Varying illumination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/07—Target detection
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Quality & Reliability (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
Abstract
GERAÇÃO E USO DE MODELO PREDITIVO DE CULTURA DE MICRÓSPORO. Os métodos têm aplicação na cultura de tecidos de células vegetais, óvulos e micrósporos. Formação de imagens automatizadas, rastreamento celular automatizado e modelagem preditiva são usados para desenvolver métodos que predizem a probabilidade de uma célula vegetal se desenvolver em um fenótipo desejado e/ou quais fatores de reprogramação celular ajudarão nesse desenvolvimento. Os métodos ensinados no presente documento podem ser usados também para avaliar os efeitos de toxicidade de compostos em células vegetais, predizer respostas genotípicas à cultura de tecidos e fatores de reprogramação celular, determinar o estado de ploidia celular e predizer outros tipos de desenvolvimento de fenótipo celular.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201962950327P | 2019-12-19 | 2019-12-19 | |
PCT/US2020/065504 WO2021127110A1 (en) | 2019-12-19 | 2020-12-17 | Microspore culture predictive model generation and use |
Publications (1)
Publication Number | Publication Date |
---|---|
BR112022010586A2 true BR112022010586A2 (pt) | 2022-08-16 |
Family
ID=76478178
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112022010586A BR112022010586A2 (pt) | 2019-12-19 | 2020-12-17 | Geração e uso de modelo preditivo de cultura de micrósporo |
Country Status (6)
Country | Link |
---|---|
US (1) | US20230343116A1 (pt) |
EP (1) | EP4078438A4 (pt) |
BR (1) | BR112022010586A2 (pt) |
CA (1) | CA3165383A1 (pt) |
IL (1) | IL294109A (pt) |
WO (1) | WO2021127110A1 (pt) |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2010286740B2 (en) * | 2009-08-22 | 2016-03-10 | The Board Of Trustees Of The Leland Stanford Junior University | Imaging and evaluating embryos, oocytes, and stem cells |
US9074234B2 (en) * | 2011-03-07 | 2015-07-07 | Syngenta Participations Ag | Method of predicting crop yield using metabolic profiling |
WO2016134211A1 (en) * | 2015-02-20 | 2016-08-25 | President And Fellows Of Harvard College | Structural phenotyping of myocytes |
JP2019058156A (ja) * | 2017-09-28 | 2019-04-18 | オリンパス株式会社 | 画像処理装置および細胞観察システム |
US11504748B2 (en) | 2017-12-03 | 2022-11-22 | Seedx Technologies Inc. | Systems and methods for sorting of seeds |
-
2020
- 2020-12-17 US US17/757,769 patent/US20230343116A1/en active Pending
- 2020-12-17 WO PCT/US2020/065504 patent/WO2021127110A1/en unknown
- 2020-12-17 BR BR112022010586A patent/BR112022010586A2/pt unknown
- 2020-12-17 IL IL294109A patent/IL294109A/en unknown
- 2020-12-17 CA CA3165383A patent/CA3165383A1/en active Pending
- 2020-12-17 EP EP20900853.1A patent/EP4078438A4/en active Pending
Also Published As
Publication number | Publication date |
---|---|
EP4078438A1 (en) | 2022-10-26 |
EP4078438A4 (en) | 2024-03-13 |
WO2021127110A1 (en) | 2021-06-24 |
US20230343116A1 (en) | 2023-10-26 |
IL294109A (en) | 2022-08-01 |
CA3165383A1 (en) | 2021-06-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
BR112017024649A2 (pt) | métodos para a transformação in planta de plantas e processos de fabricação e produtos com base nelas e obteníveis a partir delas | |
Mora et al. | Testing chronosequences through dynamic approaches: time and site effects on tropical dry forest succession | |
BR112022010586A2 (pt) | Geração e uso de modelo preditivo de cultura de micrósporo | |
Cargnelutti Filho et al. | Leaf area estimation of pigeonpea by leaf dimensions. | |
BR112021012051A2 (pt) | Tratamentos de pré-condicionamento para melhorar a transformação de plantas | |
Asrial | Teaching Writing Descriptive Text By Combining Brainstorming And Y Chart Strategies At Junior High School | |
BR112017022710A2 (pt) | uso de cd146 solúvel como um biomarcador para selecionar embriões fertilizados in vitro para implantação em um mamífero | |
Herod | Spatial Fix | |
Rudiger et al. | Scaling agroecological packages for soil and water conservation in mixed crop livestock systems in Tunisia | |
Mozafari et al. | On the use of MARRMoT for rainfall-runoff modelling in Irish raised bogs | |
McCalman et al. | Farming and research-working together to develop grassland varieties resilient to water stress to mitigate and adapt to climate change. | |
Roza | Teaching writing report text by combining point, illustration, explanation (PIE) and author’s chair strategies for senior high school students | |
Rahmadhani | Teaching writing of descriptive text by combining brainwriting and mind maps strategies at junior high school | |
Rudneva et al. | MOOCS as a new approach to ESP vocabulary development | |
Čepić et al. | Teacher'informal learning and personality: Context and challenges in professional practice. | |
PL428366A1 (pl) | Sposób hodowli komórek macierzystych z zastosowaniem wydzieliny roślin z gatunku Drosophyllum lusitanicum | |
YU et al. | Exploration on the Talent Training Mode of Medical Direction of Chain Management Major in Higher Vo-cational College | |
Corina | Improving energy efficiency management in the enterprises from the food industry of Republic of Moldova | |
Birhanu et al. | Seasonal effect on hydrological models parameters and performance | |
Nomura | 8. Report on" Professionalism as a competency of physicians" session of the" Building up the consensus in professionalism education" workshop, organized by the 18th term Ethics & Professionalism Committee, and s | |
D'Aquino | Assistance to local communities and the land-use plan in Senegal | |
Polo et al. | Inter-annual variability in CMIP5 models and the mean biases | |
Khastini et al. | Production and Regeneration Protoplast of Dark-Septate Endophytic Fungus Veronaeopsis simplex | |
Goncharenko et al. | Longitudinal Differences in the Low-latitude Ionosphere and in the Ionospheric Variability | |
Ajami et al. | SMART: A New Semi-distributed Hydrologic Modelling Framework for Soil Moisture and Runoff Simulations |