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Dp70 digital ccd camera

Manufactured by Olympus
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Sourced in Japan

The DP70 is a digital CCD camera designed for microscopy applications. It features a high-resolution sensor and advanced image capture capabilities. The DP70 is capable of producing detailed, high-quality images for scientific and research purposes.

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Lab products found in correlation

Bx52 epifluorescent microscope, by Olympus (3 mentions) Cast stereology software, by Olympus (3 mentions) Cast stereology software version 2, by Olympus (2 mentions) Bx51 epifluorescence microscope, by Olympus (2 mentions) Nanozoomer xr digital slide scanner, by Hamamatsu Photonics (2 mentions) Bx50 epifluorescence microscope, by Olympus (1 mentions) Live dead baclight viability kit, by Thermo Fisher Scientific (1 mentions) Sybr green 1, by Thermo Fisher Scientific (1 mentions)

6 protocols using dp70 digital ccd camera

1

Quantification of Viable Microbial Cells

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SCM samples were suspended in filter-sterilized phosphate-buffered saline (PBS, pH 7.0), sonicated with 2-s intermittent bursts for 100 s (20 kHz; output power, 50 W), and diluted decimally with PBS for total cell counting and with 50 mM MOPS buffer (pH 6.5) for CTC+ cell counting. The total and viable counts of bacteria were directly measured by staining with SYBR Green I and with a LIVE/DEAD BacLight Viability kit (Thermo Fisher Scientific, Waltham, MA, USA), respectively, as described previously (40 ). CTC staining to detect viable and metabolically active cells was performed according to the protocol described in (16 (link)), in which the reaction mixture was prepared to contain approximately 108 cells mL−1. Actinobacteria and other possible Gram-positive bacteria among the CTC+ bacteria were specifically detected by a post-treatment with acetone (60 ). All stained specimens were observed under an Olympus model BX-50 epifluorescence microscope equipped with a DP-70 digital CCD camera (Olympus, Tokyo, Japan), and the number of stained cells was counted and analyzed using the WINROOF program (Flovel, Tachikawa, Japan).
Narihiro T., Kanosue Y, & Hiraishi A. (2016). Cultural, Transcriptomic, and Proteomic Analyses of Water-Stressed Cells of Actinobacterial Strains Isolated from Compost: Ecological Implications in the Fed-Batch Composting Process. Microbes and Environments, 31(2), 127-136.
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2

Stereology-Based Quantification of Astrocyte and Neuron Transduction

Cited 1 time
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Stereology-based studies were performed as previously described (39 (link)), using a motorized stage of an Olympus BX51 epifluorescence microscope equipped with a DP70 digital CCD camera, an X-Cite fluorescent lamp, and the associated CAST stereology software version 2.3.1.5 (Olympus, Tokyo, Japan). Each cerebral area (respectively cortex, hippocampus and striatum) was initially outlined under the 4× objective in order to define the region of interest to scan. Random sampling of the selected area was defined using the optical dissector probe of the software. To evaluate the percentage of AAV9/exo-AAV9 transduced astrocytes or neurons, the stereology-based counts were performed under the 20× objective, with a meander sampling of 10% for the surface of cortex and striatum, and 30% for the hippocampus. For each counting frame, the total number of astrocytes (GS positive cells) or neurons (NeuN positive cells) were evaluated, and, among each of those populations, the GFP positive cells. Only glial and neuronal cells with DAPI-positive nucleus within the counting frame were considered. Counts were performed blindly. The density of astrocytes and of microglial cells was calculated as the number of cells of each type (+/− GFP positive cells), divided by the total area sampled (number of disectors × counting frame size).
Hudry E., Martin C., Gandhi S., György B., Scheffer D.I., Mu D., Merkel S.F., Mingozzi F., Fitzpatrick Z., Dimant H., Masek M., Ragan T., Tan S., Brisson A.R., Ramirez S.H., Hyman B.T, & Maguire C.A. (2016). Exosome-associated AAV vector as a robust and convenient neuroscience tool. Gene therapy, 23(4), 380-392.
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3

Stereology-Based Quantification of Astrocyte and Neuron Transduction

Cited 1 time
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Stereology-based studies were performed as previously described (39 (link)), using a motorized stage of an Olympus BX51 epifluorescence microscope equipped with a DP70 digital CCD camera, an X-Cite fluorescent lamp, and the associated CAST stereology software version 2.3.1.5 (Olympus, Tokyo, Japan). Each cerebral area (respectively cortex, hippocampus and striatum) was initially outlined under the 4× objective in order to define the region of interest to scan. Random sampling of the selected area was defined using the optical dissector probe of the software. To evaluate the percentage of AAV9/exo-AAV9 transduced astrocytes or neurons, the stereology-based counts were performed under the 20× objective, with a meander sampling of 10% for the surface of cortex and striatum, and 30% for the hippocampus. For each counting frame, the total number of astrocytes (GS positive cells) or neurons (NeuN positive cells) were evaluated, and, among each of those populations, the GFP positive cells. Only glial and neuronal cells with DAPI-positive nucleus within the counting frame were considered. Counts were performed blindly. The density of astrocytes and of microglial cells was calculated as the number of cells of each type (+/− GFP positive cells), divided by the total area sampled (number of disectors × counting frame size).
Hudry E., Martin C., Gandhi S., György B., Scheffer D.I., Mu D., Merkel S.F., Mingozzi F., Fitzpatrick Z., Dimant H., Masek M., Ragan T., Tan S., Brisson A.R., Ramirez S.H., Hyman B.T, & Maguire C.A. (2016). Exosome-associated AAV vector as a robust and convenient neuroscience tool. Gene therapy, 23(4), 380-392.
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4

Quantitative Analysis of Amyloid Pathology

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For the quantification of amyloid load, Alexa-568-anti-Amyloid immunolabeled and Methoxy-XO4 positive plaques were imaged using a NanoZoomer-XR Digital slide scanner (Hamamatsu Photonics, Shizuoka, Japan) under a 20X objective. The total surface of amyloid was determined using a custom-written script based on the “Analyze particle” function of Fiji (National Institutes of Health: http://fiji.sc/), after defining the cortex as region of interest. The total surface occupied by amyloid was then reported to the cortical area of each section considered. Stereology-based study of amyloid-associated microglia was performed on immunolabeled sections using an Olympus BX52 epifluorescent microscope equipped with motorized stage, DP70 digital CCD camera, and CAST stereology software (Olympus, Tokyo, Japan). The cortex was outlined and microglia counts were made using 20X high numerical aperture (1.2) objective. Using a meander sampling of 70% of cortical area, images were captured each time an amyloid deposit was encountered. Those images were then analyzed using Fiji, counting the number of Iba1-positive microglial cells close to a plaque (< 50 μm) and reporting this number to the surface of the plaque considered. All pathology quantification was carried out blinded until the last statistical analyses.
Frigerio C.S., Wolfs L., Fattorelli N., Thrupp N., Voytyuk I., Schmidt I., Mancuso R., Chen W.T., Woodbury M.E., Srivastava G., Möller T., Hudry E., Das S., Saido T., Karran E., Hyman B., Perry V.H., Fiers M, & De Strooper B. (2019). The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques. Cell reports, 27(4), 1293-1306.e6.
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5

Quantitative Analysis of Amyloid Pathology

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For the quantification of amyloid load, Alexa-568-anti-Amyloid immunolabeled and Methoxy-XO4 positive plaques were imaged using a NanoZoomer-XR Digital slide scanner (Hamamatsu Photonics, Shizuoka, Japan) under a 20X objective. The total surface of amyloid was determined using a custom-written script based on the “Analyze particle” function of Fiji (National Institutes of Health: http://fiji.sc/), after defining the cortex as region of interest. The total surface occupied by amyloid was then reported to the cortical area of each section considered. Stereology-based study of amyloid-associated microglia was performed on immunolabeled sections using an Olympus BX52 epifluorescent microscope equipped with motorized stage, DP70 digital CCD camera, and CAST stereology software (Olympus, Tokyo, Japan). The cortex was outlined and microglia counts were made using 20X high numerical aperture (1.2) objective. Using a meander sampling of 70% of cortical area, images were captured each time an amyloid deposit was encountered. Those images were then analyzed using Fiji, counting the number of Iba1-positive microglial cells close to a plaque (< 50 μm) and reporting this number to the surface of the plaque considered. All pathology quantification was carried out blinded until the last statistical analyses.
Frigerio C.S., Wolfs L., Fattorelli N., Thrupp N., Voytyuk I., Schmidt I., Mancuso R., Chen W.T., Woodbury M.E., Srivastava G., Möller T., Hudry E., Das S., Saido T., Karran E., Hyman B., Perry V.H., Fiers M, & De Strooper B. (2019). The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques. Cell reports, 27(4), 1293-1306.e6.
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6

Stereology-based Quantification of Neurons and Astrocytes

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Stereology-based studies were performed on immunolabeled sections using an Olympus BX52 epifluorescent microscope equipped with motorized stage, DP70 digital CCD camera, and CAST stereology software (Olympus, Tokyo, Japan). The cortex was outlined under low power objective (4×) and astrocytes and neurons counts were made using a 20 × 0.75 numerical aperture objective, with a meander sampling of the selected cortical area. We generally used different probes in order to quantify the overall density of neurons and astrocytes (probe = 5%) and the amount of GFP-positive neurons or astrocytes (probe = 10%). Estimates of the numbers of transduced neurons and astrocytes (by immunolabeling and morphology) were calculated using the fractionator method.
Dashkoff J., Lerner E.P., Truong N., Klickstein J.A., Fan Z., Mu D., Maguire C.A., Hyman B.T, & Hudry E. (2016). Tailored transgene expression to specific cell types in the central nervous system after peripheral injection with AAV9. Molecular Therapy. Methods & Clinical Development, 3, 16081-.
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