Image analysis in Biomedical Research (1ª edición)

Biomedical research often uses techniques that require image analysis (Western blot, measurements of biomolecules, morphometric analysis, MRI). Lack of knowledge on quantification tools reduces the information that can be obtained or results in biased quantification. The aim of this course is therefore, to provide the theoretical background on Image Analysis and to provide the studet the opportunity to practice under supervision with the Program ImageJ, one of the most used in Biomedical Research. The course is directed to postgraduate students in Biomedical sciences.

Programa

Session Nº 1: Image analysis introduction
Image acquisition, types and properties
Digital image and computer analysis
Stacks and Hyperstacks
Fiji-ImageJ software introduction
Histogram: utilities and modification
Practice: Overview of the FIJI software
Applied examples of the session and troubleshooting

Session Nº 2: Image Processing
Smoothen and noise filtering
Sharpening
Image operations
Fourier processing
Binary Image
Segmentation
Practice: Applied examples of the session and troubleshooting

Session Nº 3: Morphometric and Densitometric analysis
ROI: region of interest
Morphometric object selection
Count and outline objects
Morphometry parameters
Densitometry parameters
Object analysis
Practice: Applied examples of the session and troubleshooting

Session Nº 4: Plugging applications and automatization design (MACROS).
Complex processing and analysis
Tracking
3D reconstruction and visualization
ImageJ macro language
Ejemplos de Aplicación y problemas
Practice: Applied examples of the session and troubleshooting

Session Nº 5: Biomedical research project practical session
Application and troubleshooting of the course concepts to research projects proposed by the students.

Docentes

Ignacio Monedero Cobeta: Fisiología UAM

Jose María González Granado: Fisiología UAM

Requisitos previos de acceso

Directed to postgraduate students in Biomedical sciences

Criterios de evaluación

To obtain a certificate the student will have to attend 80% of the sessions and an a positive evaluation exam of an image analysis protocol of a research project

Días, horario y lugar de impartición

Días: 5 días en total, del 30/05/2022 al 03/06/2022

Horario: 15:00-19:00

Lugar: Facultad de Medicina, Aula de informática

Matriculación

Image analysis in Biomedical Research (1ª edición) (Mátricula Ordinaria) 15€

Image analysis in Biomedical Research (1ª edición) (Matrícula Alumni UAM+, Alumni UAM+Plus, Alumnos UAM, Amigos de la UAM) 13,5€

 

*Para beneficiarse de la matrícula reducida, los estudiantes  deben inscribirse con su correo institucional  estudiante.uam.es*

NÚMERO DE PLAZAS OFERTADAS

Máximo 30 plazas

**El curso se impartirá si alcanza el mínimo de 11 estudiantes**

 

Becas y criterios de concesión

El curso tenía el objetivo de ser gratuito. Las tasas que se han establecido son para cubrir los cánones institucionales

Criterios:

  • 70% situación de desempleo
  • 30% expediente académico
Departamento
Fisiología
Centro
Facultad de Medicina
Categoría
Actividades sanitarias y de servicios sociales
IP/Director
Ignacio Monedero Cobeta
Modalidad
Presencial
Fecha inicio
30/05/2022
Fecha fin
03/06/2022
Precio
Matrícula ordinaria: 15€; Matrícula Alumni UAM+, Alumni UAM+Plus, Alumnos UAM, Amigos de la UAM: 13,5€
aaa1653955199
Programa
Docentes
Requisitos previos de acceso
Criterios de evaluación
Días, horario y lugar de impartición
Matriculación
Becas y criterios de concesión
Programa

Session Nº 1: Image analysis introduction
Image acquisition, types and properties
Digital image and computer analysis
Stacks and Hyperstacks
Fiji-ImageJ software introduction
Histogram: utilities and modification
Practice: Overview of the FIJI software
Applied examples of the session and troubleshooting

Session Nº 2: Image Processing
Smoothen and noise filtering
Sharpening
Image operations
Fourier processing
Binary Image
Segmentation
Practice: Applied examples of the session and troubleshooting

Session Nº 3: Morphometric and Densitometric analysis
ROI: region of interest
Morphometric object selection
Count and outline objects
Morphometry parameters
Densitometry parameters
Object analysis
Practice: Applied examples of the session and troubleshooting

Session Nº 4: Plugging applications and automatization design (MACROS).
Complex processing and analysis
Tracking
3D reconstruction and visualization
ImageJ macro language
Ejemplos de Aplicación y problemas
Practice: Applied examples of the session and troubleshooting

Session Nº 5: Biomedical research project practical session
Application and troubleshooting of the course concepts to research projects proposed by the students.

© 2021 Fundación de la Universidad Autónoma de Madrid