Accessible, automated, actionable nanoscale imaging
Delmic Technology
Life Sciences
Delmic Life Sciences makes nanoscale biological imaging faster, more precise, and more accessible, turning workflows that were once specialist and slow into something routine. The result is more data, better context, and science that moves faster from question to answer.
Sample protection
Less contaminated lamella area with in-chamber ROI confirmation
Localisation accuracy
Fluorescence localisation accuracy
Sensivity
Higher signal-to-noise than alternative systems for faint targets
Throughput
Correlation, fluorescence imaging, and lamella milling all in one software suite
higher throughput proven on biological specimen
Multi-beam SEM
pixel size throughout to see sub-organelle details
sections on a 14*14 mm² scintillator typically (section size dependent)
Field size
per field, unlimited number of fields per image acquisition
Material Sciences
Delmic Material Sciences drives the next leap forward in material innovation by automating advanced cathodoluminescence (CL) imaging to resolve optical and electronic properties at the nanoscale. By combining high-resolution nanoscale optical data with seamless microscopy automation, Delmic eliminates complex, manual workflows, enabling researchers and industrial manufacturers to instantly gain insights into critical material properties.
Leading collection efficiency
for a Lambertian type emitter
Faster acquisition
faster detection than competitor*
High single system range
Spectral window: UV to near infrared
Flexible system
imaging modes available in one retrofit.
Let's start discussing your project right away
We are driven to deliver accessible, cutting-edge microscopy workflows that enable breakthroughs to improve people’s lives and make the world a better place.
Delmic Solutions
Fast color-filtered CL intensity mapping
Image Courtesy of :
Ryan McAleer, USGS (Reston, USA)
Color-filtered intensity maps provide a powerful combination of high-throughput and course spectral information. Different minerals such as zircon and quartz can be readily distinguished from their appearance in RGB CL maps.
Obtain spectral information at the nanoscale using hyperspectral mapping
Image Courtesy of :
C. Tessarek, M. Heilmann, and S. Christiansen, Max
Planck Institute for the Science of Light (Erlangen, DE)
Hyperspectral mapping reveals differences in emission wavelengths from the top facet of a GaN microrod with embedded InGaN quantum wells. Different colors in the image denote different emission wavelengths, with each pixel containing a full CL spectrum.
Full characterization of the polarization state of light
Image Courtesy of :
Toon Coenen, AMOLF/Delmic, Amsterdam NL
Polarimetry measurements can be used to retrieve the full polarization state and angular dependence of light emitted from nanostructured materials. Here the degree of circular polarization as a function of angle is shown for a bullseye nanostructure under off center excitation.
Combine picosecond dynamics with nanometer resolution
Image Courtesy of : Delmic/Jonas Lähnemann, Paul Drude-Institute Berlin, (Germany)
Ultrafast dynamics of UV emitting AlGaN after excitation by an ultrashort electron pulse captured using a streak camera. Time-resolved CL combines the benefits of both high spatial and high temporal resolution.
Large area CL mapping using Smart Tiling
Image Courtesy of :
Delmic, Delft (NL)
By combining stage tiling with a smart refocusing routine, the system automatically compensates for height differences across the sample; ensuring consistent data quality across the map.
Sub-pixel inspection of microLEDs for display technologies
Image Courtesy of :
S. Meuret AMOLF (NL)
Map optical properties within single microLED structures. G(2) autocorrelation measurements provides direct information on luminescence lifetimes even with a contnious electron beam.
Deep UV characterization of UVC LED
Image Courtesy of :
CrayoNano, (Trondheim, NO)
Map optical properties within single microLED structures. G(2) autocorrelation measurements provides direct information on luminescence lifetimes even with a contnious electron beam.
Defect review for semiconductor epitaxy
Image Courtesy of :
Delmic, Delft (NL)
A defect counting algorithm was used to determine threading dislocation densities on a GaN sample, the algorithm accounts for clustering of defects.
NIR spectroscopy of photovoltaic materials
Image Courtesy of :
Nikolaeva A, Krause M, Schäfer N, et al. Electrostatic potential fluctuations and light-soaking effects in Cu(In,Ga)Se2 solar cells. Prog Photovolt Res Appl. 2020; 28: 919–934.
Mapping of the NIR emission of photovoltaic materials such as this CIGS sample reveals information on band gap gradients and recombination velocities at grain boundaries. Can also be applied to other PV materials such as CZTE, CdTe, GaAs and metal halide perovskites.
Geochronology screening
Image Courtesy of :
Cameron Davidson, Carleton College (Northfield, USA)
Large area screening of zonation patterns in zircon grains for geochronology using stage tiling and automatic stitching.
Material Development
Image Courtesy of :
J. Ledig, Technische Unversität Braunschweig (Germnay)
Accelerate materials development through nanoscale optical inspection of (opto-)electronic materials and nanostructures thereof.
Imaging of beam sensitive materials
Image Courtesy of :
Wim Noorduin, AMOLF, NL
Image beam sensitive materials such as metal halide perovskites, as showcased by this high-resolution CL image of a perovskite nanostructure made through ion exchange.
Visualization of radiation patterns
Image Courtesy of :
Toon Coenen, AMOLF/Delmic (Amsterdam NL)
Reconstruction of wavelength filtered radiation patterns from an elliptical bullseye nanostructure compared to their theoretical for different wavelengths provide insights into light scattering mechanisms.
Mapping of exciton emission in 2D materials
Image Courtesy of :
N.talebi Kiel University, DE
High-resolution CL maps can be obtained from atomically thin 2D materials to retrieve the complex energetic landscape in these materials or stacked heterostructures thereof.
Characterization of color centers and single-photon emitters
Image Courtesy of :
Delmic (Delft, NL)
Cathodoluminescence provides an powerful means to locate and characterize color centers and single-photon emitters in wide band gap materials, for example to guide ion implantation procedures during their fabrication.
Overview mapping to locate ROIs before milling
Image Courtesy of :
Prof. Takayuki Kato, Institute
for Protein Research, Osaka University, Japan
A quick fluorescence overview identifies which yeast cells contain the region of interest before milling begins. Cryo-FIB time then goes straight to relevant targets rather than searching or milling empty cells.
Resolve fine features to confirm the target before milling
Image Courtesy of :
Josephine Karlsen Dannersø, Aarhus iNANO, Denmark
A quick fluorescence overview identifies which yeast cells contain the region of interest before milling begins. Cryo-FIB time then goes straight to relevant targets rather than searching or milling empty cells.
Confirm ROI presence in serial lift-out lamellae
Image Courtesy of :
Oda Schiøtz and Christoph Kaiser, Max Planck Institute of Biochemistry, Martinsried
A quick fluorescence overview identifies which yeast cells contain the region of interest before milling begins. Cryo-FIB time then goes straight to relevant targets rather than searching or milling empty cells.
FIB-view-FM imaging for accurate targeting of fiducial-less samples
Image Courtesy of :
Cristina Capitanio, EPFL, Switzerland
A quick fluorescence overview identifies which yeast cells contain the region of interest before milling begins. Cryo-FIB time then goes straight to relevant targets rather than searching or milling empty cells.
Ice-free lamella transfer, handling and storage
Image Courtesy of :
Jean Daraspe, EM Facility, University of Lausanne, Switzerland
A quick fluorescence overview identifies which yeast cells contain the region of interest before milling begins. Cryo-FIB time then goes straight to relevant targets rather than searching or milling empty cells.
Keep receiver grid squares clean for reliable deposition
Image Courtesy of :
Jean Daraspe, EM Facility, University of Lausanne, Switzerland
A quick fluorescence overview identifies which yeast cells contain the region of interest before milling begins. Cryo-FIB time then goes straight to relevant targets rather than searching or milling empty cells.
Accelerate and deepen the insight into infectious disease through quantitative nanoscale analysis.
Image Courtesy of :
Thomas Burgoyne and Andreia Pinto from
University College London, UK
A quick fluorescence overview identifies which yeast cells contain the region of interest before milling begins. Cryo-FIB time then goes straight to relevant targets rather than searching or milling empty cells.
Uncover novel insights into cellular pathways by observing ultrastructural changes in 3D
Image Courtesy of :
A.J. Kievits and J. Hoogenboom (Delft University of Technology, NL)
The higher throughput of FAST-EM allows for large volume EM, which makes it possible for researchers to interrogate the nanoscale subcellular ultrastructural details. In this example, the 265,000 μm3 volume of data at 4x4x100 nm3 voxel size revealed suborganelle level details within around 100 (partial) MCF-7 breast cancer cells. The application of AI automated organelle segmentation to different organelles allows researchers to analyse hitherto unknown changes in organelle morphology and organelle-organelle contacts in different cell states and ask new questions about the cellular molecular mechanisms.
Our Products
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Science
Technology
High-performance and multimodal cathodoluminescence detector for SEM
High-quality fluorescence imaging integrated into your cryo-FIB/SEM.
A comprehensive cryo-ET targeting solution that reliably locates and confirms your ROI in the lamella across a wide range of sample types.
High throughput scanning electron microscope for biological samples.
Plug-and-play panchromatic and RGB cathodoluminescence detector for SEM
Fiber-coupled time-resolved cathodoluminescence detector for SPARC Spectral
High-performance cathodoluminescence detector for intensity mapping.
Minimize ice growth during cryo-ET lamellae preparation.
Eliminate ice contamination for a higher-throughput, more reliable cryo-ET workflow.
Software automation
Odemis, Delmic’s plateform for the next generation of nanoscale microscopy.
Software automation
Odemis, Delmic’s plateform for the next generation of nanoscale microscopy.
Delmic is present in 5 continents, supporting over 200 publications and counting.


















Testimonials
See what world-class institutions have achieved with Delmic’s technologies
Delmic's team provided valuable consultations on new functionalities and promptly addressed our demands for additional information, fostering a friendly and efficient collaboration.
Prof. Nahid Talebi
Leader of the Nanooptics group at Kiel University.
“We have very good experiences with the support by Delmic, the response time is short, and the service is always to our great satisfaction [...] The SPARC system is an elegant way to extend the microscopic analysis we perform using other methods.”
Dr. Daniel Abou-Ras, Dr. Klaus Schwarzburg, and Dr. Sebastian Schmitt
The Helmholtz-Zentrum Berlin (HZB).
“It was very reassuring to know that the SPARC system was developed by a trusted and esteemed colleague in our field, rather than being some general-purpose solution in material science.”
Dr. Saskia Fiedler
The University of Southern Denmark (SDU), in the Nano Optics group
at the Mads Clausen Institute.
“The nicest part is that their [Delmic] products live up to their specifications and are offered at a competitive cost.”
Reza Paraan, Postdoctoral Researcher
New York Structural Biology Center (NYSBC).
“We believe this is the best solution given the axial resolution of conventional widefield microscopy and even confocal. Furthermore, with an integrated system, the fixed transformations between imaging modalities reduce the time cost of closely monitoring the fluorescence during the thinning process.”
Prof. Dr. Friedrich Förster
The in situ Structural Biology Lab at Utrecht University
“With FAST-EM, we can go to larger volumes. For instance, it could be used for a full model animal brain to map out all the neurons' connections.”
Dr. Jacob Hoogenboom
The Faculty of Applied Sciences at TU Delft.
“Without the FAST-EM, we can not image 1 by 1-millimeter sample over the weekend, with the FAST-EM we will be able to do that over a couple of hours.”
Dr. Ben Giepmans
University Medical Center Groningen (UMCG).
“I would absolutely recommend the CERES Clean Station to other researchers. While working in a glove box requires some adjustment, it is far better than spending days on Lift-Out projects only to end up with contaminated lamellae. The Clean Station is a compact, energy-efficient solution that solves a major problem in our workflow.”
Jean Daraspe
Université de Lausanne – Laboratory Scientific Expert