Reveal Hidden Information in Your Microscopy Experiments With the Power of AI
Patrice Mascalchi
Sales and Application Specialist, Leica Microsystems
Read BioPatrice is a Sales and Application Specialist for Aivia software at Leica Microsystems. As a biologist, Patrice is passionate about microscopy and image analysis and has 10+ years of hands-on experience. Self-taught in programming, he spent several years collaborating with scientists from various fields on image processing and analysis and has actively participated in research projects requiring image analysis. He now believes that AI is the key to speeding up image analysis.
CloseDaniel Smeets
Advanced Workflow Specialist, Leica Microsystems
Read BioDaniel Smeets is an Advanced Workflow Specialist at Leica Microsystems. He obtained his PhD in biology (Cell Biology and Epigenetics) from the University of Munich (LMU) in 2013. During his PhD studies, he also spent over a year at the University of Oxford thanks to a grant from the German Academic Exchange Service (DAAD). Daniel joined Leica Microsystems in early 2014, where he feels lucky to continue pursuing his love for microscopy and science. In his role, he tries to help researchers find and apply the best microscopy techniques for their specific needs through training and advice and help them to get the most insight out of their experiments.
CloseJan Schumacher
Advanced Workflow Specialist, Leica Microsystems
Read BioJan is an Application Manager at Leica Microsystems and is responsible for neuroscience applications of widefield microscopy. In 2017, he became part of the product management team for LAS X software intended for widefield microscopy applied to the life sciences. He switched to Leica Microsystems’ sales organization as an Advanced Workflow Specialist in 2019. Before joining Leica Microsystems, Jan used electrophysiological techniques to research acupuncture. For his PhD work at the Max Planck Institute (MPI) for Biophysics in Frankfurt, Germany, he utilized various in vivo imaging techniques to investigate the sense of smell.
CloseJens Peter Gabriel
Advanced Workflow Specialist, Leica Microsystems
Read BioJens Peter Gabriel is an Advanced Workflow Specialist for Leica Microsystems. He obtained his PhD in Biology (Neurobiology) from the University of Cologne before continuing in this field as a postdoctoral researcher at the Max-Planck-Institute for Medical Research in Heidelberg/Germany, and the Karolinska Institute in Stockholm/Sweden. His main interest was neuronal network generating behavior, which he studied in zebrafish using methods like electrophysiology, multi-photon calcium imaging, and confocal microscopy. His passion for biological imaging was why Jens joined Leica Microsystems in 2009. He now contributes to scientific progress by helping researchers identify which microscope system best fits their requirements and supporting them through training and application advice.
CloseArtificial Intelligence (AI) is increasingly found in our daily lives. AI technology, such as Machine Learning and Deep Learning, can also be applied to facilitate and improve our life science routines, including microscopy.
In this next virtual event of our See the Hidden Workshop series, we explore how AI is already being harnessed at various levels in microscopy, from image acquisition hardware to image analysis software.
This webinar will focus on:
- Using AI to enhance image acquisition speed for confocal live-cell imaging
- Fast Machine Learning for effective segmentation under challenging 3D acquisition conditions
- The power of pre-trained Deep Learning applied to dense 3D samples
- Facilitating the discovery of rare events in high throughput experiments with autonomous microscopy
Whether hardware or software, we show that AI built into microscopy and analysis workflows can easily be applied via a simple, no coding required, user interface.
See how AI can help you and join us on the microscopy journey with real data in demanding environments such as low exposure, high speed, large 3D volume, and high throughput.