A 4 Megapixel camera with 6.5μm pixels, Prime BSI captures highly. event goes undetected.

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PRODUCT DATASHEET Prime BSI SCIENTIFIC CMOS CAMERA Can a camera single-handedly differentiate your product against competitors? With the Prime BSI, the answer is a resounding yes. Instrument builders no longer have to choose between speed, sensitivity, pixel size and resolution the Prime BSI puts the ideal combination in the hands of our OEM partners. Prime BSI achieves the perfect balance between high resolution imaging and sensitivity with a 48 x 48 pixel array and near perfect 95% quantum efficiency to maximize signal detection. A 4 Megapixel camera with 6.5μm pixels, Prime BSI captures highly detailed images at extremely fast frame rates. Robust PCIe and USB data transfer interfaces ensure that all data is collected and no = 95% Quantum Efficiency = 6.5μm x 6.5μm Pixel Area = 1.1e- Read Noise (median) = 47fps @ 16-bit / 94fps @ 12-bit event goes undetected. Prime BSI delivers a 100% pixel fill factor and does not rely on micro-lensing technology to increase detection, resulting in a 30% increase in sensitivity over previous scmos cameras. FEATURES BENEFITS High Quantum Efficiency 95% Peak QE Maximizes ability to detect weak signals, enables short exposure times for high frame rates, minimizes phototoxicity across a wide range of wavelengths Optimized 6.5μm Pixel Size Maximize light collection while maintaining proper spatial sampling at X Extremely Low Read Noise Maximize your ability to detect faint fluorescence Fast Frame Rates Capture highly dynamic events with high temporal resolution Large Field of View Maximize the number of cells that can be tracked and monitored per frame Enhanced Dynamic Range Measure both bright and dim signal levels within the same image 41,000:1 Dynamic Range (92 db) Multiple Expose Out Triggering Control up to four light sources for multi-wavelength acquisitions SMART Streaming Faster acquisition rates with variable exposures, ideal for multi-probed live cell imaging Compatible with Multiple Expose Out Triggering

4.2 Megapixel BSI CMOS Sensor Backside Illuminated Sensor 1.1e- Read Noise (Median) >95% peak QE 45,000e- full well 6.5 x 6.5μm pixels 18.8mm diagonal Easily Mounted and Secured C-mount Two 1/4"- mounting holes per side Convenient Interfaces 16-bit Data - 47fps 12-bit Data - 94fps Multiple Cooling Options Forced Air Cooling - -10ºC Cooling - Selectable Fan Speed Liquid Cooling - -25ºC Cooling - Leak-proof, quick-disconnect ports Advanced Triggering Capabilities Effective Global Shutter Up to four selectable expose-out lines

E M B E D D E D S I G N A L P R O C E S S I N G ( E S P ) F E AT U R E S PrimeEnhance With the near-perfect sensitivity of Backside Illuminated Scientific CMOS sensors, the latest generation of scientific cameras have enabled imaging using only a few photons per pixel. Unfortunately, these minute signals are dominated by the natural Poisson variation in light levels preventing useful quantitation. PrimeEnhance uses a quantitative SNR enhancement algorithm used in Life Science imaging to reduce the impact of photon shot-noise present in acquired images, leading to an increase in Signal to Noise Ratio (SNR) by 3x to 5x with equivalent exposure times. With PrimeEnhance, the exposure times can be reduced by a factor of 8-10X while maintaining the Signal to Noise ratio. This reduces the effects of cellular photo-damage and extends cell lifetimes. = Increase SNR 3x to 5x at low light levels by reducing photon shotnoise = Preserve signal intensities ensuring quantitative measurements = Extend cell lifetimes with reduced phototoxicity and photobleaching Invented at INRIA and further optimized for fluorescence microscopy at the Institut Curie, the denoising algorithm used in PrimeEnhance uses a patch based evaluation of image data and knowledge of the each individual camera s performance parameters to reduce the effects of photon shot-noise. The patches of image intensities and their noise characteristics are processed and evaluated with increasing neighborhood sizes during which weighted intensity averages are taken. This iterative process preserves not only the quantitative nature of the measured intensities, but also the maintains the finer features present in biological samples. Detailed performance and methodology of the algorithm is available in the following publication: Patch-based nonlocal functional for denoising fluorescence microscopy image sequences. Boulanger J, Kervrann C, Bouthemy P, Elbau P, Sibarita JB, Salamero J. IEEE Trans. Med Imaging 10 Feb. = Extremely useful for low light imaging applications dominated by noise 1 1 1 1 Fig Fig 2b 2b Original Original 00 100 100 1 1 1 1 1 1 1 1 0 0 00 100 100 1 1 1 1 1 1 1 1 0 0

EMBEDDED SIGNAL PROCESSING (ESP ) FEATURES P r i m e L o c a t e Localization based super-resolution microscopy requires a sparsity of data to ensure proper localization of emitting molecules. Even with this sparsity, the full image frame is transferred to the host to be analyzed, creating a large amount data to be processed without adding useful information. PrimeLocate dynamically evaluates image data and locates 500 regions per frame containing single molecule data relevant for super-resolution localization. Only these 500 regions are transferred to the host computer, drastically reducing the amount of data and time required for analysis. By transferring only the relevant raw data, users have the freedom to use their preferred localization algorithm to generate superresolution images. = Only the data within the patches is transferred to the host computer = Processing time and storage requirements are easier to manage with the acquisition of only relevant data = Ability to transfer 500 regions per frame = Allows freedom to select preferred superresolution localization algorithm Transmission +(13,492) +(14,625) +(10,700) M U LT I - R O I The surplus of data generated by scmos devices is challenging to acquire, analyze, and store, requiring special interfaces and expensive SSDs. While a large Field of View (FOV) is convenient for imaging, at times, only certain areas contain the desired information. Multi-ROI allows users to select up to 15 unique ROIs within the FOV, and only these selected regions are transferred to the host computer. This allows for a large reduction in the amount of data acquired but ensures that the critical information is obtained. = Only the data within the user-defined ROIs is transferred to the host computer = Select up to 15 unique regions = Significantly reduce the amount of data being acquired

SPECIFICATIONS Sensor Active Array Size CAMERA PERFORMANCE Gpixel GSENSEBSI Scientific CMOS sensor 48 x 48 (4.2 Megapixel) Pixel Area 6.5μm x 6.5μm (42.25μm 2 ) Sensor Area 13.3mm x 13.3mm 18.8mm diagonal Peak QE% >95% Read Noise Full-Well Capacity Dynamic Range Bit Depth Readout Mode Binning 1.1e- (Median) 1.3e- (RMS) 45,000e- (Combined Gain) 10,000e- (High Gain) 41,000:1 (Combined Gain) 16-bit (Combined Gain) 12-bit (High Gain) Rolling Shutter Effective Global Shutter 2x2 (on FPGA) COOLING PERFORMANCE SENSOR TEMPERATURE DARK CURRENT Air Cooled -10ºC @ 30ºC Ambient 0.5e-/pixel/second Liquid Cooled -25ºC @ 30ºC Ambient 0.12e-/pixel/second SPECIFICATIONS CAMERA INTERFACE Digital Interface PCIe, USB 3.0 Lens Interface Mounting Points Liquid Cooling C-Mount 2 x 1/4 " mounting points per side to prevent rotation Quick Disconnect Ports TRIGGERING MODE Input Trigger Modes FUNCTION Trigger-First: Sequence triggered on first rising edge Edge: Each frame triggered on rising edge SMART Streaming: Fast iteration through multiple exposure times Output Trigger Modes Any Row Expose signal is high while any row is acquiring data All Rows Effective Global Shutter Expose signal is high when all rows are acquiring data Signal is high for set Exposure time Rolling Shutter Effective Global Shutter Expose signal is high when all rows are acquiring data Signal is High for set Exposure time Readout Time Output Trigger Signals Expose Out (up to four signals), Read Out, Trigger Ready

QUANTUM EFFICIENCY (%) 100 90 70 50 30 10 0 300 0 500 0 700 0 900 1000 WAVELENGTH (NM) Accessories (Included) PCIe Card/Cable USB 3.0 Cable Trigger Cable Power Supply Manual QuickStart Guide = Cameras optimized for application needs = Flexible and customizable Frame Rates (PCIe Interface) Distance from C-mount to sensor branding options Array Size 16-bit 12-bit = Unique part number/bill of Materials (BOM) 48 x 48 47 94 48 x 1024 94 188 48 x 512 188 376 48 x 128 752 4 A12B345678 = Single driver platform supports a wide range of product offerings = Strategically located global service centers = Dedicated support from a focused OEM team Software and Integration All Photometrics cameras operate with a common driver architecture, PVCAM. The accompanying SDK includes code examples for common functions to help shorten integration time. A stand-alone imaging application, PVCAM Test, is also available so you can begin working with the cameras right out of the box. This universal driver also insures that once your system works with PVCAM, you have flexibility to offer additional Photometrics cameras in nearly drop-in fashion to differentiate your product line. The Prime BSI is also supported by Ocular end-user software that was developed by Photometrics. The software may be made available for internal use or distribution. Speak with your Photometrics OEM representative to learn more about Ocular. info@photometrics.com www.photometrics.com Telephone: +1 5.889.9933 Toll Free: +1 0.874.9789 Photometrics is a registered trademark. Prime BSI is a trademark of Photometrics. All other brand and product names are the trademarks of their respective owners. Specifications in this datasheet are subject to change. Refer to the Photometrics website for most current specifications. Results are typical and may vary from camera to camera. *For more information, visit the Photometrics website at www.photometrics.com Note: Specifications are typical and subject to change. Rev A1