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ORCA-Flash4.0 V3 Digital CMOS camera
C13440-20CU
We’ve advanced our camera technology, so you can advance your science
Building on our extensive experience with high performance scientific cameras and advanced imaging applications, Hamamatsu introduces the new ORCA®-Flash4.0 V3. This one camera expertly handles applications ranging from the acquisition of beautiful scientific images to experiments that demand detection, quantification and speed. With on-board FPGA processing enabling intelligent data reduction, highly refined in-camera, pixel-level calibrations, increased USB3.0 frame rates, purposeful and innovative triggering capabilities, patented lightsheet read out modes and individual camera noise characterization the ORCA-Flash4.0 V3 is the precision instrument for imaging.
ORCA is a registered trademark of Hamamatsu Photonics K.K. (China, EU, France, Germany, Japan, UK, USA).
Features
- Calibrated for Quantitative Accuracy
- Flexibility for Customized Data Control
- Patented Tools for Advanced Imaging: Lightsheet Readout Mode
- Focus on the Relevant Data
- Powerful Triggering for Synchronizationa
Lightsheet Readout Mode [Patented]
“Lightsheet Readout Mode” is a unique and patented feature of Hamamatsu sCMOS cameras which can improve signal to noise ratios in Lightsheet microscopy.
For more information about the principle and features of Lightsheet Readout Mode, please see details from below.
Movie gallery
3D animation of Amoeba scanned by DSLM
GFP-labeled zebrafish blood flow
High speed (400 fps) zebrafish cardiac beat
iPS cardiomyocyte membrane voltage dynamics (high resolution)
Localization microscopy acquisition
Dynamic movement of shrimp swimmeret
Spinning disk confocal pollen z scan images
Filopodial protrusion dynamics
High-speed intracellular Ca gradient driven by UTP stimulation
Microtubule growth dynamics TIRF
PKC translocation driven by TEA stimulation
High-speed Ca imaging of iPS cardiomyocyte
Publications
ORCA-Flash4.0
| Authors | Title | Source |
|---|---|---|
| Xuanze Chen, Zhiping Zeng, Rongqin Li, Boxin Xue, Peng Xi, Yujie Sun | Superior performance with sCMOS over EMCCD in super-resolution optical fluctuation imaging | Journal of Biomedical Optics |
| Luchang Li, Mengting Li, Zhaoning Zhang, Zhen-Li Huang | Assessing low-light cameras with photon transfer curve method | Journal of Innovative Optical Health Sciences |
| S Hayashi, Y Okada | Ultrafast superresolution fluorescence imaging with spinning disk confocal microscope optics | Molecular Biology of the Cell |
| Matthias Mehling, Tino Frank, Cem Albayrak, Sava? Tay | Real-time tracking, retrieval and gene expression analysis of migrating human T cells | Lab on a Chip |
| Ying S. Hu, Maxwell Zimmerley, Yu Li, Robin Watters, and Hu Cang | Single-Molecule Super-Resolution Light-Sheet Microscopy | ChemPhysChem |
| Peter W Winter and Hari Shroff | Faster fluorescence microscopy: advances in high speed biological imaging | Current Opinion in Chemical Biology |
| Ronny Forster, Hui-Wen Lu-Walther, Aurelie Jost, Martin Kielhorn, Kai Wicker, and Rainer Heintzmann | Simple structured illumination microscope setup with high acquisition speed by using a spatial light modulator | Optics express |
| Jeffrey P. Nguyen, Frederick B. Shipley, Ashley N. Linder, George S. Plummer, Joshua W. Shaevitz, and Andrew M. Leifer | Whole-brain calcium imaging with cellular resolution in freely behaving C. elegans | Neurons and Cognition |
| Zong W, Zhao J, Chen X, Lin Y, Ren H, Zhang Y, Fan M, Zhou Z, Cheng H, Sun Y, Chen L. | Large-field high-resolution two-photon digital scanned light-sheet microscopy | Cell Res. 2014 Sep 26. doi: 10.1038/cr.2014.124. [Epub ahead of print] |
| Vladimirov N, Mu Y, Kawashima T, Bennett DV, Yang CT, Looger LL, Keller PJ, Freeman J, Ahrens MB. | Light-sheet functional imaging in fictively behaving zebrafish | Nat Methods. 2014 Jul 27. doi: 10.1038/nmeth.3040. [Epub ahead of print] |
| Mickoleit M, Schmid B, Weber M, Fahrbach FO, Hombach S, Reischauer S, Huisken J. | High-resolution reconstruction of the beating zebrafish heart | Nat Methods. 2014 Jul 20. doi: 10.1038/nmeth.3037. [Epub ahead of print] |
| Vettenburg T, Dalgarno HI, Nylk J, Coll-Lladó C, Ferrier DE, Čižmár T, Gunn-Moore FJ, Dholakia K. | Light-sheet microscopy using an Airy beam | Nat Methods. 2014 May;11(5):541-4. doi: 10.1038/nmeth.2922. Epub 2014 Apr 6. |
| Juette MF, Terry DS1, Wasserman MR, Zhou Z, Altman RB, Zheng Q, Blanchard SC. | The bright future of single-molecule fluorescence imaging | Curr Opin Chem Biol. 2014 Jun 20;20C:103-111. doi: 10.1016/j.cbpa.2014.05.010. |
| Menon M, Askinazi OL, Schafer DA. | Dynamin2 organises lamellipodial actin networks to orchestrate lamellar actomyosin | PLoS One. 2014 Apr 7;9(4):e94330. doi: 10.1371/journal.pone.0094330. eCollection 2014. |
| Gualda EJ, Vale T, Almada P, Feijó JA, Martins GG, Moreno N. | OpenSpinMicroscopy: an open-source integrated microscopy platform | Nat Methods. 2013 Jul;10(7):599-600. doi: 10.1038/nmeth.2508. Epub 2013 Jun 9. |
| Fahrbach FO, Voigt FF, Schmid B, Helmchen F, Huisken J. | Rapid 3D light-sheet microscopy with a tunable lens | Opt Express. 2013 Sep 9;21(18):21010-26. doi: 10.1364/OE.21.021010. |
| Fullerton S, Bennett K, Toda E, Takahashi T. | Optimization of precision localization microscopy using CMOS camera technology | Proc. SPIE 8228, Single Molecule Spectroscopy and Superresolution Imaging V, 82280T (February 9, 2012); doi:10.1117/12.906336; http://dx.doi.org/10.1117/12.906336 |
| Fullerton S, Bennett K, Toda E, Takahashi T. | Camera simulation engine enables efficient system optimization for super-resolution imaging | Proc. SPIE 8228, Single Molecule Spectroscopy and Superresolution Imaging V, 822811 (February 9, 2012); doi:10.1117/12.906346; http://dx.doi.org/10.1117/12.906346 |
| Singh AP, Krieger JW, Buchholz J, Charbon E, Langowski J, Wohland T. | The performance of 2D array detectors for light sheet based fluorescence correlation spectroscopy. | Opt Express. 2013 Apr 8;21(7):8652-68. |
| Ahrens MB, Keller PJ. | Whole-brain functional imaging at cellular resolution using light-sheet microscopy. | Nat Methods. 2013 Mar 18. doi: 10.1038/nmeth.2434. |
| Long F, Zeng S, Huang ZL. | Localization-based super-resolution microscopy with an sCMOS camera part II: experimentalmethodology for comparing sCMOS with EMCCD cameras. | Opt Express. 2012 Jul 30;20(16):17741-59. |
| Baumgart E, Kubitscheck U. | Scanned light sheet microscopy with confocal slit detection. | Opt Express. 2012 Sep 10;20(19):21805-14. |
| Takao D, Nemoto T, Abe T, Kiyonari H, Kajiura-Kobayashi H, Shiratori H, Nonaka S. | Asymmetric distribution of dynamic calcium signals in the node of mouse embryo during left-right axis formation. | Dev Biol. 2013 Apr 1;376(1):23-30. |
| Huang F, Hartwich TM, Rivera-Molina FE, Lin Y, Duim WC, Long JJ, Uchil PD, Myers JR, Baird MA, Mothes W, Davidson MW, Toomre D, Bewersdorf J. | Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms. | Nat Methods. 2013 May 26. doi: 10.1038/nmeth.2488. |
| Ma H, Kawai H, Toda E, Zeng, S, Huang ZL | Localization-based super-resolution microscopy with an sCMOS camera part III: camera embedded data processing significantly reduces the challenges of massive data handling | Optics Letters, Vol. 38, Issue 11, pp. 1769-1771 (2013) |
| Baumgart E., Kaminski T. | Scanned LSFM with Confocal Detection. | Imaging and Microscopy, Volume 15, Issue 1 2013. |
| Xu D, Jiang T, Li A, Hu B, Feng Z, Gong H, Zeng S, Luo Q. | Fast optical sectioning obtained by structured illumination microscopy using a digital mirror device. | J Biomed Opt. 2013 Jun;18(6):60503. doi: 10.1117/1.JBO.18.6.060503. |
PC recommendations
With the introduction of the ORCA-Flash4.0, users are now able to stream 4 megapixel images to their computers 100 frames per second. The computer recommendations for this high data rate can be met by using the guidelines listed this PC Recommendations for ORCA-Flash4.0.
Software
Our software provides the interface to access all of our carefully engineered camera features, from simply setting exposure to orchestrating complex triggering for multidimensional experiments.
Specifications
| Type number | C13440-20CU |
|---|---|
| Imaging device | sCMOS |
| Effective no. of pixels | 2048 (H)×2048 (V) |
| Cell size | 6.5 μm×6.5 μm |
| Effective area | 13.312 mm×13.312 mm |
| Full well capacity | 30 000 electrons (typ.) * |
| Readout speed | 100 frames/s (Full resolution, standard scan, Camera Link) * 40 frames/s (Full resolution, standard scan, USB 3.0, 16 bit) * 53 frames/s (Full resolution, standard scan, USB 3.0, 12 bit) * 80 frames/s (Full resolution, standard scan, USB 3.0, 8 bit) * |
| Readout noise | Standard scan (at 100 frames/s, typ.):1.6 electrons rms (1.0 electrons median) Slow scan (at 30 frames/s, typ.): 1.4 electrons rms (0.8 electrons median) |
| Cooling method | Peltier cooling |
| Cooling temperature | Forced air (Ambient at +20 ℃): -10 ℃ Water (+20 ℃): -10 ℃ Water (+15 ℃): -30 ℃ |
| Dark current | 0.06 electrons/pixel/s (Air Cooled to -10° C) (typ.) 0.06 electrons/pixel/s (Water Cooled to -10° C) (typ.) 0.006 electrons/pixel/s (Water Cooled to -30° C) (typ.) |
| Dynamic range | 37 000:1 (typ.) |
| Interface | Camera Link / USB 3.0 |
| A/D converter | 16 bit / 12 bit / 8 bit |
| Lens mount | C-mount |
Spectral response
Dimensions
Instruction manual
Related documents
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