Enhancing PyDDM Usability: Aiming For A More Accessible Workflow For Non-Specialists
(2025) EEML05 20251Department of Biomedical Engineering
- Abstract
- This research is a part of a new, up and coming field in exploring differential dynamic microscopy (DDM) as a method for research in biomaterials. DDM is a method that enables the possibilities of working with non-transformed images in real time while still providing information about the dynamics without the need for complex optics or lasers. The analysis is possible through the Fourier Transform, however, the method has a high technical complexity and is only accessible for specialists. As there are multiple implementations of DDM, this research has focused on understanding one of them, called PyDDM, due to its ability to be modified for different research applications. This report investigates whether it is possible to achieve a more... (More)
- This research is a part of a new, up and coming field in exploring differential dynamic microscopy (DDM) as a method for research in biomaterials. DDM is a method that enables the possibilities of working with non-transformed images in real time while still providing information about the dynamics without the need for complex optics or lasers. The analysis is possible through the Fourier Transform, however, the method has a high technical complexity and is only accessible for specialists. As there are multiple implementations of DDM, this research has focused on understanding one of them, called PyDDM, due to its ability to be modified for different research applications. This report investigates whether it is possible to achieve a more accessible workflow to utilize PyDDM for users not specialized in DDM. This is achieved by studying PyDDM documentation and by executing example images in PyDDM. Partly are images provided in the PyDDM documentation studied, but also with images from samples of tracer particles in water and hyaluronic acid. All collected information was compiled to formulate an instructive workflow. During the work process, there were several challenges. The most prominent was the absence of documentation, along with the limitations in time. Therefore, we could not investigate all the parameters in sufficient depth. Also, since different researchers will want to look at different results depending on what they are studying, it was hard for us to conclude how the results should be analyzed in the workflow. Moreover, we were not able to achieve a sufficiently high frame rate, which resulted in the system being unable to capture the type of motion of the particles. Despite these challenges, a reasonably effective workflow was formulated, including important factors at each phase of the process. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9206345
- author
- Gustafsson, Elsa LU and Åsberg, Linnea LU
- supervisor
-
- Cedric Dicko LU
- Lorenzo Grassi LU
- organization
- alternative title
- Att förbättra användarbarheten i PyDDM: Formulera Ett Mer Tillgängligt Arbetesflöde För Icke-Specialiserade Användare
- course
- EEML05 20251
- year
- 2025
- type
- M2 - Bachelor Degree
- subject
- language
- English
- id
- 9206345
- date added to LUP
- 2025-07-01 09:42:38
- date last changed
- 2025-07-01 09:42:44
@misc{9206345,
abstract = {{This research is a part of a new, up and coming field in exploring differential dynamic microscopy (DDM) as a method for research in biomaterials. DDM is a method that enables the possibilities of working with non-transformed images in real time while still providing information about the dynamics without the need for complex optics or lasers. The analysis is possible through the Fourier Transform, however, the method has a high technical complexity and is only accessible for specialists. As there are multiple implementations of DDM, this research has focused on understanding one of them, called PyDDM, due to its ability to be modified for different research applications. This report investigates whether it is possible to achieve a more accessible workflow to utilize PyDDM for users not specialized in DDM. This is achieved by studying PyDDM documentation and by executing example images in PyDDM. Partly are images provided in the PyDDM documentation studied, but also with images from samples of tracer particles in water and hyaluronic acid. All collected information was compiled to formulate an instructive workflow. During the work process, there were several challenges. The most prominent was the absence of documentation, along with the limitations in time. Therefore, we could not investigate all the parameters in sufficient depth. Also, since different researchers will want to look at different results depending on what they are studying, it was hard for us to conclude how the results should be analyzed in the workflow. Moreover, we were not able to achieve a sufficiently high frame rate, which resulted in the system being unable to capture the type of motion of the particles. Despite these challenges, a reasonably effective workflow was formulated, including important factors at each phase of the process.}},
author = {{Gustafsson, Elsa and Åsberg, Linnea}},
language = {{eng}},
note = {{Student Paper}},
title = {{Enhancing PyDDM Usability: Aiming For A More Accessible Workflow For Non-Specialists}},
year = {{2025}},
}