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Julio Cesar da Silva

MRS team – Department PLUM

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External sources:   Google Scholar    Publons    ORCID     ResearchGate

About me

I am interested in advanced microscopy methods and synchrotron radiation techniques, including coherent diffraction techniques, x-ray imaging, tomography and deep learning in microscopy. I have experience in Ptychography, Fourier Ptychography, SAXS, XRD, Micro- and Nano-tomography, and I really like programming scientific tools that I can use to process my data. The type of systems I study is the scaled-up materials, in which information about their morphological structure at the nanometer scale needs to be extracted while keep a fairly big volume. I am constantly fighting to beat the depth-of-field limit in microscopy to obtain images with high Space-Bandwidth-Product (SBP).

• Coherent X-ray imaging: holography, ptychography and coherent diffraction

• Optical microscopy : Fourier ptychography

• Correlative imaging: spectroscopy and phase contrast

• Numerical analysis and algorithm development

• Materials sciences

• Artificial intelligence: machine and deep learning

• Scaled-up materials

• X-rays and synchrotron instrumentation

Tutorials and sharing

Tutorials

(The images and information here available are consequence of a lot of work. Please, cite the work if you use them)

1. Tutorial on the basics of Deep Learning and CNNs
   • link to Github repo with Jupyter Notebooks in Python
2. Tutorial on Coherent X-rays and Fourier transforms:
   • link to tutorial notes
   • link to Github repo with Jupyter Notebooks in Python
   • link to presentation file
3. Lecture in the X-Ray and Neutron Science – International Student Summer Programme at ILL/ESRF, Summer 2019. « X-ray Coherence »
4. Tutorial T.3 Coherent X-rays: a unique tool for structural and dynamical studies, ESRF user meeting 2019:
   • link to tutorial notes
   • link to presentation file
   • link to Jupyter Notebooks in Python
5. Tutorial in the MART3D school, Bordeaux, France, Sept. 2016. « Quantitative X-ray imaging via X-ray Ptychography: Concepts and Applications »

PDF files of some of my scientific presentations

(The images and information here available are consequence of a lot of work. Please, cite the work if you use them)

1. Presentation in the ESRF/ILL Summer School 2019, Grenoble, France. « X-ray coherence: introduction and a few applications »
2. Presentation in Coherence2016, Saint-Malo, France. « Ptychography in Terms of an Expansion in Elementary Signals »
3. Presentation in the workshop « New opportunities in the Earth Sciences at the Extremely Brilliant Source of the ESRF », OSUG, Grenoble, France. “Quantitative X-ray ptychographic imaging : present and future innovations”

Software for data analysis

Artificial Intelligence on X-ray / synchrotron techniques

Artificial intelligence is an emerging tool that is becoming ubiquitous in X-ray and synchrotron facilities. Mindful of its importance and as part of the upgrade of French CRG beamlines at ESRF, we also wish to discuss how these tools can be useful for us and for the community.

Therefore, we will start a series of webinars dedicated to applications of artificial intelligence (machine and deep learning) to techniques based on x-rays and synchrotrons.

The link to connect to the webinars will be send by e-mail. For this reason, please register to the webinars you are interested in. The complete webinar schedule and the registration links is given in the table below:

Publication (HAL)

Lien direct sur HAL

Contact

Département : PLUM

Équipe : Materials, Radiations, Structure (MRS)

Statut : Personnel Chercheur

Organisme : CNRS

Position : Permanent

Email : julio-cesar.da-silva@neel.cnrs.fr

Téléphone : 04 76 88 14 84

Bureau : F-210