Fluorescence imaging under background light with a self-reset complementary metal–oxide–semiconductor image sensor
- Author(s): Takahiro Yamaguchi 1 ; Yoshinori Sunaga 1 ; Makito Haruta 1 ; Mayumi Motoyama 1 ; Yasumi Ohta 1 ; Hiroaki Takehara 1 ; Toshihiko Noda 1 ; Kiyotaka Sasagawa 1 ; Takashi Tokuda 1 ; Jun Ohta 1
-
-
View affiliations
-
Affiliations:
1:
Graduate School of Materials Science , Nara Institute of Science and Technology , 8916-5 Takayama-cho , Ikoma , Nara 6300192 , Japan
-
Affiliations:
1:
Graduate School of Materials Science , Nara Institute of Science and Technology , 8916-5 Takayama-cho , Ikoma , Nara 6300192 , Japan
- Source:
Volume 2015, Issue 11,
November
2015,
p.
328 – 330
DOI: 10.1049/joe.2015.0046 , Online ISSN 2051-3305
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received
17/03/2015,
Accepted
02/11/2015,
Revised
26/03/2015,
Published
04/11/2015
The authors propose and demonstrate the fluorescence imaging of green fluorescence protein (GFP) expressed in a brain slice with a self-reset complementary metal–oxide–semiconductor image sensor under background light. By using a self-reset function to avoid pixel saturation, the weak fluorescence of GFP was successfully observed, even under background light. The result suggests that the sensor can be applied to in vivo imaging of laboratory animals during light–dark cycles, so that they can observe the different responses to bright and dark environments.
Inspec keywords: proteins; CMOS image sensors; biological techniques; fluorescence
Other keywords: fluorescence imaging; background light; green fluorescence protein; self reset complementary metal–oxide–semiconductor image sensor; brain slice; pixel saturation
Subjects: Biological engineering and techniques; Biophysical instrumentation and techniques; Image sensors; Molecular biophysics
References
-
-
1)
-
14. Yang, D., Gamal, A.: ‘Comparative analysis of SNR for image sensors with enhanced dynamic range’, Proc. SPIE, 1999, 3649, pp. 197–211, (doi: 10.1117/12.347075).
-
-
2)
-
16. Bermak, A., Bouzerdoum, A., Eshraghian, K.: ‘A vision sensor with on-pixel ADC and in-built light adaptation mechanism’, Microelectron. J., 2002, 33, (12), pp. 1091–1096, (doi: 10.1016/S0026-2692(02)00114-3).
-
-
3)
-
17. Yuan, J., Chan, H.Y., Fung, S.W., et al: ‘An activity-triggered 95.3 dB DR–75.6 dB THD CMOS imaging sensor with digital calibration’, IEEE J. Solid-State Circuits, 2009, 44, (10), pp. 2834–2843, (doi: 10.1109/JSSC.2009.2027929).
-
-
4)
-
8. Haughland, R.P.: ‘Handbook of fluorescent probes and research products’ (Molecular Probes, Eugene, OR, USA, 2002, 9th edn.).
-
-
5)
-
10. Kobayashi, T., Masuda, H., Kitsumoto, C., et al: ‘Functional brain fluorescence plurimetry in rat by implantable concatenated CMOS imaging system’, Biosens. Bioelectron., 2014, 53, pp. 31–36, (doi: 10.1016/j.bios.2013.09.033).
-
-
6)
-
12. Kim, W.J., Jan, L.Y., Jan, Y.N.: ‘Contribution of visual and circadian neural circuits to memory for prolonged mating induced by rivals’, Nat. Neurosci., 2012, 15, (6), pp. 876–883, (doi: 10.1038/nn.3104).
-
-
7)
-
3. Ferezou, I., Bolea, S., Petersen, C.C.H.: ‘Visualizing the cortical representation of whisker touch: voltage-sensitive dye imaging in freely moving mice’, Neuron, 2006, 50, (4), pp. 617–629, (doi: 10.1016/j.neuron.2006.03.043).
-
-
8)
-
1. Haruta, M., Kitsumoto, C., Sunaga, Y., et al: ‘An implantable CMOS device for blood-flow imaging under freely moving experiments of rats’, Jpn. J. Appl. Phys., 2014, 53, (4S), p. 4EL05, (doi: 10.7567/JJAP.53.04EL05).
-
-
9)
-
11. Steven, M., Weaver, D.R.: ‘Coordination of circadian timing in mammals’, Nature, 2002, 418, pp. 935–941, (doi: 10.1038/nature00965).
-
-
10)
-
13. Hastings, M.H., Goedert, M.: ‘Circadian clocks and neurodegenerative diseases: time to aggregate?’, Curr. Opin. Neurobiol., 2013, 23, (5), pp. 880–887, (doi: 10.1016/j.conb.2013.05.004).
-
-
11)
-
15. Kavusi, S., El Gamal, A.: ‘Quantitative study of high dynamic range image sensor architectures’, Proc. SPIE, 2004, 5301, pp. 264–275, (doi: 10.1117/12.544517).
-
-
12)
-
9. Ng, D.C., Tokuda, T., Yamamoto, A., et al: ‘On-chip biofluorescence imaging inside a brain tissue phantom using a CMOS image sensor for in vivo brain imaging verification’, Sens. Actuators B, Chem., 2006, 119, (1), pp. 262–274, (doi: 10.1016/j.snb.2005.12.020).
-
-
13)
-
5. Schulz, D., Southekal, S., Junnarkar, S.S., et al: ‘Simultaneous assessment of rodent behavior and neurochemistry using a miniature positron emission tomograph’, Nat. Methods, 2011, 8, (4), pp. 347–352, (doi: 10.1038/nmeth.1582).
-
-
14)
-
6. Ishida, N., Kasamo, K., Nakamoto, Y., et al: ‘Epileptic seizure of El mouse initiates at the parietal cortex: depth EEG observation in freely moving condition using buffer amplifier’, Brain Res., 1993, 608, (1), pp. 52–57, (doi: 10.1016/0006-8993(93)90773-G).
-
-
15)
-
4. Park, J.H., Platisa, J., Verhagen, J.V., et al: ‘Head-mountable high speed camera for optical neural recording’, J. Neurosci. Methods, 2011, 201, (2), pp. 290–295, (doi: 10.1016/j.jneumeth.2011.06.024).
-
-
16)
-
18. Tamura, H., Ng, D.C., Tokuda, T., et al: ‘One-chip sensing device (biomedical photonic LSI) enabled to assess hippocampal steep and gradual up-regulated proteolytic activities’, J. Neurosci. Methods, 2008, 173, (1), pp. 114–120, (doi: 10.1016/j.jneumeth.2008.06.002).
-
-
17)
-
7. Fan, D., Rich, D., Holtzman, T., et al: ‘A wireless multi-channel recording system for freely behaving mice and rats’, PLoS One, 2011, 6, (7), p. e22033, (doi: 10.1371/journal.pone.0022033).
-
-
18)
-
2. Helmchen, F., Fee, M.S., Tank, D.W., et al: ‘A miniature head-mounted neurotechnique two-photon microscope: high-resolution brain imaging in freely moving animals’, Neuron, 2001, 31, (6), pp. 903–912, (doi: 10.1016/S0896-6273(01)00421-4).
-
-
1)
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2015.0046
Related content
content/journals/10.1049/joe.2015.0046
pub_keyword,iet_inspecKeyword,pub_concept
6
6
