Rafael Camacho Podcast

Rafael Camacho

Conversations about science, life and most of the times bio-Image analysis

Episodes

  1. 10/19/2021

    ESP1 - FIJI e inteligencia artificial para el análisis de imágenes biológicas

    Para este podcast he tenido el privilegio de conversar con Ignacio Arganda-Carreras. Ignacio es un investigador en el área de inteligencia artificial con aplicaciones a bio-imagen. Ignacio trabaja en la Universidad del Pais Vasco para el Departamento de Ciencias de la Computación e Inteligencia Artificial de la Facultad de Informática. Si son usuarios de ImageJ o FIJI, entonces el nombre de Ignacio esta asociado con distintos plugins muy populares, entre ellos, dos de mis favoritos: Trainable Weka Segmentation, y MorphoLibJ. En esta oportunidad Ignacio y yo hablamos acerca de sus inicios en ImageJ, como desarrolló plugins que le eran útiles y finalmente a se involucro mas de lleno en el grupo de desarrolladores de FIJI. También hemos hablado un sobre inteligencia artificial y cómo estas técnicas han entrado en el ámbito de la bioImagen. En lo personal este podcast fue muy especial ya que es el primer audio que publico en español y no pude tener mejor compañía que la de Ignacio. De nuevo Ignacio muchas gracias por aceptar mi invitación y por nuestra charla tan amena. Links para el episodio: Página web de Ignacio: https://sites.google.com/site/iargandacarreras/ Twitter: @IgnacioArganda ImageJ, people: https://imagej.net/people/iarganda FIJI: https://imagej.net/software/fiji/ Trainable Weka Segmentation: https://imagej.net/plugins/tws/ MorphoLibJ: https://imagej.net/plugins/morpholibj Irkebasque: https://www.ikerbasque.net/ignacio-arganda-carreras

    47 min
  2. 06/26/2021

    #6 Sebastian Rhode - Microscopes and Image Analysis in Industry and Academia

    My guest in this podcast is Sebastian Rhode, Senior Product Owner in Machine Learning and Image Analysis at ZEISS microscopy (https://www.zeiss.com/microscopy/int/home.html). If you are involved in bio-image analysis, NEUBIAS or the imge.sc forum then you probably know Sebastian. He is extremely active in the community, not only showing what ZEISS can do in this arena but also interacting and helping the open-source community when they have questions regarding ZEISS image format or their products. (https://github.com/zeiss-microscopy/OAD) For me, this podcast was a unique opportunity to chat about the interaction between academia and industry, and between the open-source community and the commercial solutions. We also cover many other topics, such as football, the love of building microscopes, smart microscopy, teaching, trust, hardware vs software, academia vs small and large companies and much more. I had a blast talking to Sebastian and I am sure we could have kept talking many hours more, thus I am sure that if time allows we will have many more conversations in and off the podcast record.  Sebastian's Twitter account: https://twitter.com/sebisabs Time stamps for the episode (00:00) Introduction (01:33) Football (06:00) Laser safety and dye lasers (09:25) Lasers vs objectives who wins? (12:05) Chemistry, spectroscopy and microscopy - the love of building microscopes (15:40) Physics and Russians (19:40) Sebastian in academia (22:12) Transition from academia to industry (25:30) Starting in industry (28:50) Changes and surprises when moving to industry (34:00) Interaction between academia and industry (37:00) Moving to a different and larger company (40:00) Job security (45:00) Communicating and hiring in industry (50:50) Sebastian goes to ZEISS (55:30) Metal and glass vs software (1:06:00) Developing software for microscopes (1:09:30) BioImage analysis and NEUBIAS (1:11:30) Industry engaging with open software communities (1:15:30) The price of software (1:21:20) Image analysis for industry vs life science research (1:29:34) First impressions count: simple vs flexible (1:35:37) How to prove that a software tool generates value (1:37:50) Closing remarks

    1h 41m
  3. 02/15/2021

    Robert Haase - Bioimage analysis, smart microscopy, GPU acceleration and open-software development

    Robert Haase is a group leader and bio-image analyst at the DFG Cluster of Excellence "Physics of Life" TU Dresden. In this conversation Robert and I go over many interesting topics, covering the typical suspects (image analysis, software development, GPU acceleration) as well as some other technical and not so technical topics.  Relevant links to some of the topics in the episode: Robert's group: https://physics-of-life.tu-dresden.de/en/research/technology-development-groups/bio-image-analysis  Robert's Twitter account: https://twitter.com/haesleinhuepf Robert's GitHub account: https://github.com/haesleinhuepf Robert's YouTube channel: https://www.youtube.com/channel/UC-hlwQ9Q4GS3rtv2EwSStAQ CLIJ: https://clij.github.io/ clEsperanto: https://clesperanto.github.io/ Imagesc Forum: https://forum.image.sc/ NEUBIAS: https://eubias.org/NEUBIAS/ NEUBIAS youtube channel: https://www.youtube.com/channel/UC-oy7UpEhRfHQ-5ePCviKFg Rubber duck debugging: https://en.wikipedia.org/wiki/Rubber_duck_debugging Napari: https://napari.org/ ImageJ: https://imagej.nih.gov/ij/index.html Biaflows: https://biaflows.neubias.org/#/ List of topics covered (in order or appearance, sort of): Beers - Holsten dreht am dollsten. Robert's new role as principal investigator/group leader Robert's history as a software engineer Bio-image analysis Beatles and smart microscopy Light-sheet microscopy GPU acceleration Big-data Bugs and software development Fear of programming Teaching and remote teaching NEUBIAS Naming conventions in bio-image analysis Rubber duck debugging clEsperanto Building bridges between developers, analysts, and biologists  ImageJ / FIJI Napari Developers and users interaction Sustainable software development Biaflows Robert's retirement plan Open-source Docker technology Weather in the north Remote collaboration

    1h 11m

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Conversations about science, life and most of the times bio-Image analysis