Nüvü Camēras’ innovative EMCCD cameras overcome research barriers by producing high-quality images for a variety of biomedical applications, including fluorescence and bioluminescence imaging, spectroscopy, super-resolution microscopy, but also clinical applications, and much more.

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Fluorescence and bioluminescence

Spinning Disk Confocal Microscopy

Spinning disk confocal microscopy preserves the optical sectioning property of confocal microscopy while being adapted to much higher frame rates. This technique, which uses one or two spinning disks, allows the samples progressive illumination and fluorescence or luminescence excitation in rapidly moving arcs for a quick and efficient imaging. Plus, it decreases photobleaching and phototoxicity and is the preferred imaging method for imaging live cells and organisms.

Emission light inherently lost due to spinning disks

In spinning disk microscopy, a sample excitation is achieved by transient pinhole illumination on each point of the said sample. However, the disks cut off a fraction of the excitation light and the signal emitted by the sample, thus decreasing the incoming signal to the camera. The signal becomes barely detectable by a camera without a sufficiently low noise floor, thus degrading the image signal-to-noise ratio (SNR).

Nüvü Camēras’ solution for spinning disk confocal microscopy

By minimizing all noise sources in EMCCD cameras (readout noise, CIC, and dark current) and maximizing the CTE, Nüvü Camēras provides the fastest, most reliable and sensitive low-light imaging solution. With a background noise lesser than 0.001 e/pix/frame, Nüvü™ offers microscopists the lowest noise floor to boost spinning disk confocal microscopy images’ SNR. Better, Nüvü™ systems easily support photon counting, which increases imaging performances when as few as a photon/pix/sec hit the camera sensor.

Demonstration: More features visible in spinning disk confocal microscopy

The following figures illustrate Nüvü EMCCD camera performances when coupled to the Quorum Technologies’ WaveFX-X1 system at McGill University’s CIAN facility. The first image was produced with a typical high-end 512 x 512 EMCCD camera; the second image shows the same sample, but measured with Nüvü Camēras’ EM N2 512 camera. Notable features are more easily distinguished by the WaveFX-XI EM N2 combination, including previously undetectable details and the cell outline.

Figure 1: Spinning disk confocal microscopy acquisition with a typical high-end EMCCD camera. Settings: detector temperature of -65 °C and EM gain of 1200. The image is contaminated by a high level of CIC and pixels are altered by the electron-multiplication induced excess noise factor (ENF).

Figure 2: Same sample as Figure 1, this time measured by the Nüvü™ EM N2 512 camera in photon counting mode. Settings: detector temperature of – 85°C and EM gain of 5000. The image displays a greater SNR and reveals more sample features.

(Images courtesy of Quorum Technologies Inc.)

Bioluminescence Analysis

Bioluminescent reagents are often used in biological assays, such as sanitary evaluations, to assess and quantify the presence of a particular molecule. A prime example is adenosine triphosphate (ATP) detection in biocompatibility and cytotoxicity tests. In such assays, a combination of luciferin and luciferase produces a light-emitting compound in the presence of ATP. The bioluminescent signal varies linearly if ATP concentrations are inferior to those of the reagent pair. As such, calibration curves can be obtained to quantify precisely ATP amounts in biological samples.

Traditionally limited to the picomole scale

Typical detection methods inhibit ATP quantification lower than the picomole scale. Indeed, commercially available cameras do not reach the required sensitivity to observe smaller luciferin+luciferase concentrations.

Photon counting to reach the femtomole scale

Nüvü cameras enable better ATP detection as a result of their controller and packaging technology that significantly lower the overall sensor noise. Nüvü Camēras photon counting capabilities further pushes detection limits, pushing them down to the femtomole scale.

Demonstration: Detecting ATP femtomole-scale concentrations

Presented below are three images of the same microplate containing solutions of various ATP concentrations, ranging from 5 to 156 femtomoles and studied in triplicates. Each image was acquired with Nüvü™ EM N2 1024 camera.

Figure 1: Single 30-seconds acquisition in Conventional (CCD) mode. The image displays the expected performance of a top-of-the-line CCD camera or even a high-end sCMOS. Without the electron multiplication to boost the bioluminescent signal, ATP solutions are barely noticeable.

Figure 2: Superposition of five 1-second EM acquisition. With a lower noise floor due to the electron multiplication process, all six ATP concentrations are detectable. SNR values vary from 1.9 to 14.1 (or, equivalently, from 2.8 to 11.5 dB).

Figure 3: Superposition of five 1-second EM acquisition in photon-counting mode. Suppressing ENF, photon counting pushes the SNR, which ranges between 6.6 and 51.3 (8.2 to 17.1 dB). ATP quantities as low as 5 femtomoles are detected with strong contrast.

(Images courtesy of the Université de Sherbrooke Hospital Centre)

FRET and BRET Imaging

Förster and bioluminescence resonance energy transfer (respectively FRET and BRET) are common techniques to probe intermolecular reaction kinetics in biology and chemistry. Such events occur on the nanoscopic scale between molecules and hence produce little light.

Photobleaching and low signal intensity

FRET and BRET imaging share similar drawbacks, namely photobleaching -  the photochemical alteration of an emitting molecule due to the trigger light source intensity, applicable for FRET measurements only – and the specimens’ low signals. Such obstacles interfere with data acquisition.

Pushing data acquisition speeds and SNR

Fortunately, both issues are addressed by Nüvü™ EMCCD cameras, which support shorter exposure times, higher frame rates and offers greater sensitivity, thus better SNR. Furthermore, a user may decrease the laser intensity while performing FRET imaging, hence minimizing photobleaching effects, due to the camera’s superior sensitivity.

Small Animal Imaging

Small animals such as mice, rats, and rabbits are commonly used to study biological phenomena in a non-invasive manner with the help of fluorescing or bioluminescent biomarkers.

Harsh extinction of light

Despite the biomarkers non-invasive quality, making them appealing for diagnostic and research purposes, small animal imaging suffers from the poor light intensities emitted by these molecules. Worse, a significant portion of their emissions is lost prior to detection through absorption and scattering within the specimens’ tissues, resulting in an extremely weak incoming signal.

Exploring new detection limits

Nüvü™ research cameras are ideal for small animal imaging thanks to their unmatched sensitivity in ultra low light conditions because of high EM gains and greatest SNR among all EMCCD cameras on the market. Furthermore, Nüvü™ EMCCD cameras not only allow the detection of substantially more elusive photons but also reach shorter acquisitions speeds while preserving their sensitivity, all to create superior quality images.

Demonstration: Ultrasound-guided fluorescence tomography

Novel studies conducted by F. Lesage’s research group from the Montreal Heart Institute, in collaboration with the Institute of Biomedical Engineering at École Polytechnique de Montréal, demonstrate the potential of Nüvü™ EMCCD cameras for small animal fluorescence imaging. The group presented Ultrasound guided fluorescence tomography at the 2012 Photonics North meeting where they describe a “hybrid-model imaging system combining fluorescence and ultrasound”.

Ultrasound guided fluorescence tomography

The figures below illustrate the efficacy of the hybrid fluorescence-ultrasound small animal imaging system in mice. CCy5.5 fluorophores were injected intravenously to a concentration of 0.1 mg/L. The colored zone shows the scanned area acquired by superposing fluorescence images to controls.

Results from another hybrid system applying fluorescence tomography (FMT) and magnetic resonance imaging (MRI) were published by F. Lesage research group in the May 2014 issue of Biomedical Optics Express.

Hybrid FMT-MRI applied to in vivo atherosclerosis imaging


Raman Imaging

Raman spectroscopy studies vibrational, optical, and electronic properties of materials in a non-destructive manner. In particular, the technique helps to identify and label molecules by assessing their symmetry and chemical bonds. With Raman imaging, it is possible to depict an object of interest, plus obtain a complete Raman spectrum per pixel.

Inherently weak Raman signals

Raman scattering generates extremely weak signals and thus requires long exposure periods to perform suitable molecular analysis. Refining the spectral resolution leads to increasingly longer acquisition periods as light intensities reaching the camera further decrease.

Augmented sensitivity

With Nüvü Camēras’s unrivalled sensitivity, consequence of a lower overall background noise, Raman spectroscopy and imaging can be accelerated up to ten times without resorting to more complex methods such as coherent anti-Stokes (CARS) or surface-enhanced (SERS) Raman spectroscopy. The spectral or spatial scanning benefit from great savings in acquisition time.

Demonstration: Ultrafast Raman hyperspectral imaging

F. Thouin (University of Montreal) showed the efficiency of Nüvü™’s EM N2 EMCCD camera for performing ultrafast Raman spectroscopy measurements. Their results are presented in the poster available below.

Ultra Fast Raman Hyperspectral Imaging Using Bragg Tunable Fliters and a High Performance EMCCD Camera


Single-molecule Imaging

A particularly promising biomedical research tool is single-molecule imaging, which detects biomarker emissions with increased resolutions, reaching the molecular scale. However, such method strongly depends on the stimulating laser intensity that triggers the fluorophore emission.

Limited by marker photobleaching

Fluorescence-based imaging is hindered by marker photobleaching, which, in turn, depends on the stimulating laser intensity as well as measurement duration. Optimizing exposure time and trigger intensity is key for achieving high-quality single-molecule imaging.

Adapted for in vivo single-molecule imaging

Nüvü™ offers EMCCD cameras that support greater frame rates and temporal resolutions as well as the lowest overall background level on the market. Nüvü Camēras technology elegantly resolves the photobleaching issue inherent to single-molecule imaging and allows the user to decrease the stimulating laser intensity. The result: Improved fluorophore lifetime and superior image quality at the same time.

Demonstration: Photon counting in single-molecule imaging

The Institute for Research in Immunology and Cancer (IRIC), along with the University of Montreal’s Department of Pathology and Cell Biology, confirm the increased performances of a single-molecule imaging microscopy system using Nüvü™’s EM N2 camera in photon-counting mode. Their poster is presented below.

Improved Single-Molecule Imaging Based on Photon Counting with an EMCCD Camera

The 3-B technique

The 3-B technique takes advantage of the fluorophore blinking process caused by photobleaching, occurring at irregular intervals, and independent from one molecule to another. Combining photobleaching time series recordings and the Bayesian analysis of the blinking and the bleaching, gave rise to the 3-B technique. This novel tool increases images resolution beyond that of the microscope and yields promising results for in vivo cellular studies.

High frame rates to harness blinking and bleaching

Transient intracellular events are studied in low light imaging conditions and require rapid acquisitions to expose their dynamics through the fluorophore blinking and bleaching. However, high frame rates increase CIC levels, thus noise, which leads to inferior image quality.

Better SNR with patented EMCCD noise reduction

Thanks to its efficient photon counting mode, Nüvü Camēras offers the ultimate solution for the 3-B technique. Nüvü™ EMCCD cameras can drastically reduce noise levels that previously prevented super resolution microscopy studies. The EM gain accentuates the incoming photon flux while keeping background noise to a minimum. Furthermore, the patented Nüvü™ camera controller keeps CIC levels under 0.001 ē/pixel/frame even at 20 MHz frame rates.

Demonstration: Harnessing the EMCCD sensitivity for 3-B

Y. Zakharov and his team from the Lobachevsky University in Russia determined that ultra low noise EMCCD cameras can specifically be used for 3-B measurements in the poster below, presented at the 2013 Optics in the Life Sciences, Optical Society of America Optics and Photonics Congress.

Ultra low noise EMCCD camera considered to test a novel superresolution microscopy technique

For more information, check out Dr. Susan Cox team’s publications entitled Bayesian localization microscopy reveals nanoscale podosome dynamics and ImageJ plug-in for Bayesian analysis of blinking and bleaching.

Clinical Applications

Nuclear medicine

In nuclear medicine, the gamma (γ) and X-ray light emitted by radioactive tracers is too energetic to be detected with conventional camera technology. As such, specialized cameras fitted with scintillators translate high-energy photons into visible photons, detectable by silicon-based sensors.

Poor resolution in gamma ray detection

Current clinical gamma cameras, which are made of an array of scintillator counters, show poor resolution performances, typically at the millimeter scale. Such technology also leads to massive devices.

Increasing accuracy with EMCCD technology

High spatial resolution γ-imaging can be achieved by combining scintillator to EMCCD technology. Such cameras, like Nüvü™’, provide greater resolution of about 20 µm, leading to superior tomographic resolution, while supporting real-time acquisition of high signal-to-noise images. Better, their small housing would lead to the design of more compact devices.

Demonstration: Hybrid gamma imaging system with an EMCCD

F.J. Beekman (Delft University of Technology) and his group presented a novel hybrid gamma imaging system combining an EMCCD camera and silicon photomultipliers side detectors. While they did not use a Nüvü™ camera for their research, they stress that the system’s performance can be further improved by adding a more sensitive EMCCD camera like the one manufactured by Nüvü Camēras.

Improved EMCCD gamma camera performance by SiPM pre-localization

Also take a look at Nüvü Camēras’ referenced article in the following publication.

Characterization results of EMCCDs for extreme low light imaging

Fluorescence-guided surgery

Fluorescence-guided surgery lies on the property of certain agents to selectively accumulate in particular tissues, thus better revealing the boundaries between healthy and unhealthy cells. Improving this surgical technique will ultimately lead to better tissue resection for multiple diseases like brain and ovarian cancers. The completely removal of malignant cells will increase a patient’s remission and prognostic.

Markers limiting the photon flux

Fluorescent marker in vivo imaging results in a faint, low incoming signal. To efficiently guide surgeons in the operating room, long exposure times are required for enough photons to accumulate in the sensor wells. Longer integration times lead to higher dark current levels but also increase the length of the operation procedures, which may alter a patient’s life expectancy during delicate surgery.

Shorter acquisitions thanks to more sensitive EMCCD cameras

Nüvü Camēras’ top-of-the-line EMCCD controller effectively cuts down clock-induced charges associated with fast acquisitions. Besides, it supports EM gains up to 5000, rendering readout noise negligible. As these factors allow superior SNRs, they make accurate real-time imaging possible despite the fluorescent marker low incoming signal.

Demonstration: Fluorescence guided oncology neurosurgery

With a Nüvü™ EMCCD camera, a multidisciplinary team from the École Polytechnique of Montreal and the Thayer School of Engineering of the Darmouth College have identified cancer cells with exposures up to 100 times shorter than those of a conventional CCD while obtaining higher quality images. The results are shown in the poster below.

How can the enhanced sensitivity and favourable noise characteristics conferred by electron multiplication improve fluorescence-guided surgery

Multimodal imaging

Multimodal imaging allows parallel acquisitions in a single exposure as it applies different probe modalities simultaneously. Becoming a standard in the pre-clinical industry, it operates by injecting molecular markers detectable by multiple modalities like positron emission tomography or optical tomography. For example, one can resort to a slightly radioactive and fluorescent probe, which emissions are then detected by a camera and another system.

Low probe fluorescence levels

Each of the probe’s modalities has a different concentration interval in which it remains detectable and safe. Different modalities may have overlapping sensitivity ranges; others may be harmful at high enough concentrations, but concentrations that would lead to visible fluorescence. Finally, some modalities may hinder fluorescence in increasing concentrations. In all cases, the probe’s emission is faint, thus subject to noise contamination.

Highest SNR and optimal frame rate for optical tomography

While using the same EMCCD sensors as all of its competitors, Nüvü Camēras offers “very attractive characteristics for ultra low light and ultra-sensitive optical biomedical imaging with the best SNR in low light applications” (Bérubé-Lauzière, 2013). In the case of multimodal fluorescence imaging, it effectively answers the issue of the diminished probe’s emission at low concentration. Furthermore, with pixel rates reaching up to 20 MHz, Nüvü™ EMCCD cameras support 360° live optical tomography acquisitions.

Demonstration: Observing multimodal biomarkers

Y. Bérubé-Lauzière’s team at the University of Sherbrooke presented results of in vitro and in vivo characterization of zinc- and copper-trapped phthalocyanines, multimodal biomarkers, and determined the detection limits of such with a Nüvü camera. The results of his research conducted with his team at the University of Sherbrooke are shown in the conference proceeding below.

Ultra-high sensitivity detection of bimodal probes at ultra-low noise for combined fluorescence and positron emission tomography imaging

Cerenkov luminescence imaging

When traveling faster than light in a particular medium, high-energy charged particles, namely electrons and positrons, emit what is known as Cerenkov radiation. Such radiation, commonly measured in high-energy physics experiments, also reveals itself as a promising biomedical imaging tool, whether for biomedical studies or cancer detection.

Weak emissions

Injecting a radioactive dye in biological tissues inevitably produces Cerenkov radiation as the dye decays. However, the emission is nearly imperceptible and gets easily absorbed by the tissues. Increasingly sensitive cameras are thus required to detect the low-level Cerenkov emission ranging in the visible and near-infrared spectra.

Detecting every Cerenkov photons

Nüvü™ EMCCD cameras, such as the HNü series, are perfectly suited for Cerenkov luminescence imaging. With higher quantum efficiency across the visible spectrum and the near infrared, and ultra low noise even at high EM gains, Nüvü cameras can detect weak Cerenkov signals. Better, photon counting can provide the ultimate precision required for this forefront imaging technique.

Higher SNR for Overcoming Research Frontiers

Cutting-edge techniques manipulating light sources to study living organisms are continually discovered in parallel with technological progress in optical and imaging devices. Pioneering the exploration of uncharted biological research areas, Nüvü™ innovative cameras answer the most complex detection challenges in ultra low light imaging. Reaching far beyond the limits of today’s technology, Nüvü technology enhances the analytical work of modern scientists, significantly increasing their outcomes with superior SNR data.

Nüvü™ EMCCD cameras may on day contribute to saving lives and minimizing hospitalization time. Indeed, the detection of individual photons emitted by weak light sources such as biomarkers, a field in which Nüvü Camēras technology shines, is among the avenue taken by medical diagnostics and surgery. For example, numerous researches demonstrate the potential of fluorescent biomarkers in these fields, which may eventually help to identify and even aid in the treatment of various illnesses.

Photon Counting for Life Sciences

Multiple biomedical research fields can now benefit from the most sensitive camera on the market. Observing individual photons at high frame rates with an astoundingly high SNR is now possible with Nüvü™ EMCCD cameras. With a background noise below 0.001 ē/pix/frame as well as an EM peaking at 5000, these cameras can be applied to several biomedical research fields to study phenomena that have never been examined with such precision, sensitivity and reliability.

An EMCCD background noise results from the combination of dark current and clock-induced charges. The readout noise, the excess noise factor, and improper charge transfer also influence the background noise. Nüvü Camēras state-of-the-art and patented technology elegantly overcomes these obstacles. It allows signal amplification up to 5000 times via electron multiplication before digitization, while typical EMCCDs are limited to an EM gain of 1000. Combine with the multitude of other noise-countering methods made available with CCCP technology. Additionally, Nüvü Camēras advance technology sets new standards using creative and innovative engineering to physically reduce the system’s noise without a single computer-based filtering algorithm.

Select EMCCD camera that meets your needs

To better understand the principles behind the EMCCD camera and to choose the device that best suits your application, refer to the EMCCD Tutorial.