Vala Sciences图像细胞计数仪
经过几十年的不断研究、开发和市场表现,图像细胞计数仪凭借其标准高速和高质量图像,成为在高内涵筛选的行业标准。利用大功率固态照明,基于图像的超速自动对焦和*新科技相机,图像细胞计数仪为大规模的成像应用中*具挑战性的筛选量需求,提供了解决方案。
图像细胞计数仪的特点:
灵敏度
超高质量图像的获得基于*初简单而优雅的光学布局。我们的光学设计师在大脑中勾勒出图像细胞计数仪系统简单的光学系统,*大化的减少光学组件,保证*好的光学质量。产生的图像信噪比*小。光效率的提高,明亮的固态照明和高度敏感的相机大大地减少了曝光时间,提高了扫描速度。
对焦
图像细胞计数仪的成像原理的核心即是要获取*佳聚焦。结合多项**技术以及多年的**改进,Vala基于图像的自动对焦,辅以激光表面跟踪,在不降低扫描速度的情况下,确保其在每个领域获得*好的对焦。
灵活
图像细胞计数仪具备很大的灵活性。仪器支持大量的成像孔板,输出非**的TIFF格式图像,可以用于任何后续软件的分析。还支持其他专业文件格式可选的输出。大量的激发光源和发射光滤过可使任何荧光团在图像细胞计数仪中可见。图像细胞计数仪支持各种倍数的放大,包括4x, 10x, 20x 和40x。
集成和占地面积
占地空间小、无缝机械和软件集成使其成为一种优良的适合独立和自动化应用程序的仪器,Vala还提供了各种各样的机器人提出完全自动化的解决方案。
Vala Sciences Kinetic图像细胞仪 (KIC) 可以利用自动高通量方法对每个孔板中的成百上千个细胞进行单个细胞钙离子瞬时流动进行分析,从成千上万个化合物中快速筛选出用于心律失常的活性化合物。而且,KIC通过整合的细胞刺激信号,可以对具有自律性的心肌细胞或电同步细胞进行录像。
Vala Sciences品牌 IC200-KIC高内涵筛查系统
Vala Sciences IC200-KIC?是一个功能齐全的高内涵筛查系统,也能够捕获高速时间序列图像。IC200使用基于图像的自动对焦和激光表面跟踪,确保每一个图像在*佳焦点聚焦。拥有很多物镜和孔板支持以及占用空间小的特点,IC200的功能是***的。灵活的模块化设计使得这个系统成为一个很好的定制解决方案的平台。
特点:
1.完整的高通量筛选方案
2.超灵敏5.53MP SCMOS相机
3.动力学细胞图像分析
3.1)0.1-100fps图像采集和分析
4. 全自动刺激方案
4.1)电场
4.2)光遗传学
4.2)液体处理
5.合式自动对焦:表面跟踪+图像基于
6.可用机器人自动化解决方案
7.可用的企业数据存储解决方案
8.Benchtpop Footprint: 21" x 21 " x 24.5" (W×D×H×)
技术参数
照相机
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两个553万像素的CMOS 相机
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物镜
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平场复消色差物镜 4x NA 0.20 (1.63 um/Pixel)
平场复消色差物镜10x NA 0.45 (0.64 um/Pixel)
平场复消色差物镜 20X NA 0.75 (0.32 um/Pixel)
平场复消色差物镜 40X NA 0.95 (0.16 um/Pixel)
平场复消色差物镜 60X NA 0.95 (0.11 um/Pixel)
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自动对焦
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表面跟踪和图像对焦
- 容错(无误差)在每个视野内准确对焦
- 在每个视野内执行< 0.5秒的自动对焦
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物镜定位器
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专业的超快的100纳米分辨率的定位器
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阶段
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100纳米分辨率XY编码阶段。
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孔板支持
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支持1536, 384,96, 48,24,12 和 6 孔板
能够定义自定义格式
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激发光源
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固态光引擎7 UV-Vis-IR,可运行 15000多个小时
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发射滤光轮
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10个方位的发射滤光轮
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标准滤光片组
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- DAPI,FITC,TRITC,Cy5 and Cy7标准
- 其他滤光片组
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大小
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21" x 21" x 22" (53cm x 53cm x 56cm)外形尺寸包括光引擎
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动态图像血细胞计数仪(KIC?)
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采样频率
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以0.1-100帧/秒的频率采集时间序列
- 延时采集图像的重复序列
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刺激的选择
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- 电刺激:自动选择电*.
- 光遗传学: 光刺激可利用一切激发光源.
- 添加化合物:可选液体处理选项.
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选择
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同步采集
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双摄像头选项用于同时捕获两个通道
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环境控制
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温度 (30-40° C) and CO2 (5-10%)
- 低氧(5%,10% 或15%)
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机械自动化
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完整的机器人处理包
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集成
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可用API集成到现有的平台
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图像细胞计数仪310(IC310)
—速度*快高内涵筛选系统
Vala Sciences IC310是目前市场上执行速度*快的高内涵筛选系统。它通过对图像形态的一个连续扫描,捕捉移动图像。样品不是停留在每个孔板中被捕获到图像,因此节约了时间。消除了每个孔板中进行减速、停止和加速的耗时,使该系统扫描速度*快,每1536板花费不到8分钟的时间即可完成全过程。因为1536个孔板一直处于被捕捉的状态,IC310允许用户自行选择多少个字段保存到磁盘,不需要考虑扫描速度。
特点
1.超高通量
Ultra high throughput
-up to 280000 wells per day on a typically field of view
2.User Throughput Trade-Off for large FOV scanning
3.Up to 0.8um/pixel Resolution at 15 x 0.45NA
4.Multi Camera Options Available
5.Robotic Automation Solutions Available
6.Enterprise Date Storage Solutions Available
7.Benchtpop Footprint: 21" x 21 " x 24.5" (W×D×H×)
照相机
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3个高度灵敏的TDI相机以10倍的放大倍数扫描,每次扫描覆盖全部的1536个孔板
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物镜
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-平场复消色差物镜4x NA 0.2 (3.0 um/Pixel 标准或2.0 um/Pixel with 1.5x Relay Option)
-平场复消色差物镜10x NA 0.45 (1.2 um/Pixel 标准或 0.8 um/Pixel with 1.5x Relay Option)
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自动对焦
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激光表面发射追踪
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物镜定位器
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专业的超快的100纳米分辨率的定位器
|
阶段
|
100纳米分辨率XY编码阶段。
|
孔板支持
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支持1536, 384,96, 48,24,12 和 6 孔板
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激发光源
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激光引擎2线标准
-可升级到5线标准
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发射滤光轮
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10个方位的发射滤光轮
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标准滤光片组
|
- DAPI,FITC,TRITC,Cy5 and Cy7标准
- 其他滤光片组
|
大小
|
21" x 21" x 22" (53cm x 53cm x 56cm)外形尺寸包括光引擎
|
选择
|
同步采集
|
三个摄像头选项用于同时捕获三个通道
|
环境控制
|
温度 (30-40° C) and CO2 (5-10%)
- 低氧(5%,10% 或15%)
|
机械自动化
|
完整的机器人处理包
|
集成
|
可用API集成到现有的平台
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valasciences服务& 产品—高内涵筛选服务
作为一个EPA认证的 ToxCAST筛查项目的分包商和分析提供者,我们*近被赋予一个“特殊”提供评级的服务。
我们的服务包括100多种原代细胞和干细胞有关的高内涵筛选分析项目,很多可以对项目进行改编或定制的回答特定的生物学问题。
我们专注于使用动态图像血细胞计数器(KIC)平台的高通量心脏毒性筛选合作开发分析和数据分析方法。
使用**的模型包括ips来源的细胞专门从事定制分析
专注于高质量的数据和生物相关性
Publications:
I. Kinetic Image Cytometry:
1.
Wahlquist, C., Jeong, D., Rojas-Munoz, A., Kho, C., Lee,
A., Mitsuyama, S., van Mil, A., Park, W.J., Sluijter, J.P., Doevendans, P.A.,
Hajjar, R.J. & Mercola, M. Inhibition of miR-25 improves cardiac
contractility in the failing heart. Nature 508, 531-535 (2014).
2.
Cerignoli, F., Charlot, D., Whittaker, R., Ingermanson,
R., Gehalot, P., Savchenko, A., Gallacher, D.J., Towart, R., Price, J.H., McDonough,
P.M. & Mercola, M. High throughput measurement of Ca2+ dynamics for
drug risk assessment in human stem cell-derived cardiomyocytes by kinetic image
cytometry. J Pharmacol Toxicol Methods 66, 246-256 (2012).
3.
Islas, J.F., Liu, Y., Weng, K.C., Robertson, M.J., Zhang,
S., Prejusa, A., Harger, J., Tikhomirova, D., Chopra, M., Iyer, D., Mercola,
M., Oshima, R.G., Willerson, J.T., Potaman, V.N. & Schwartz, R.J.
Transcription factors ETS2 and MESP1 transdifferentiate human dermal
fibroblasts into cardiac progenitors. Proceedings of the National Academy of
Sciences of the United States of America 109, 13016-13021 (2012).
4.
Charlot, D., Campa, V., Azimi, B., Mercola, M.,
Ingermanson, R., McDonough, P.M. & Price, J.H. Automated calcium
measurements in live cardiomyocytes. in 5th IEEE International Symposium on
Biomedical Imaging: From Nano to Macro, Link. 316-319 (2008).
II. IC100 and IC200:
5.
Bharadwaj, U., Eckols, T.K., Kolosov, M., Kasembeli,
M.M., Adam, A., Torres, D., Zhang, X., Dobrolecki, L.E., Wei, W., Lewis, M.T.,
Dave, B., Chang, J.C., Landis, M.D., Creighton, C.J., Mancini, M.A. &
Tweardy, D.J. Drug-repositioning screening identified piperlongumine as a
direct STAT3 inhibitor with potent activity against breast cancer. Oncogene
0(2014).
6.
Bolt, M.J., Stossi, F., Callison, A.M., Mancini, M.G.,
Dandekar, R. & Mancini, M.A. Systems level-based RNAi screening by high
content analysis identifies UBR5 as a regulator of estrogen receptor-alpha
protein levels and activity. Oncogene (2014).
7.
Chung, T.D. Collaborative pre-competitive preclinical
drug discovery with academics and pharma/biotech partners at Sanford|Burnham:
infrastructure, capabilities & operational models. Combinatorial chemistry
& high throughput screening 17, 272-289 (2014).
8.
Stossi, F., Bolt, M.J., Ashcroft, F.J., Lamerdin, J.E.,
Melnick, J.S., Powell, R.T., Dandekar, R.D., Mancini, M.G., Walker, C.L.,
Westwick, J.K. & Mancini, M.A. Defining estrogenic mechanisms of bisphenol
A analogs through high throughput microscopy-based contextual assays. Chemistry
& biology 21, 743-753 (2014).
9.
Large, M.J., Wetendorf, M., Lanz, R.B., Hartig, S.M.,
Creighton, C.J., Mancini, M.A., Kovanci, E., Lee, K.F., Threadgill, D.W.,
Lydon, J.P., Jeong, J.W. & DeMayo, F.J. The epidermal growth factor
receptor critically regulates endometrial function during early pregnancy. PLoS
genetics 10, e1004451 (2014).
10. Bolt, M.J.,
Stossi, F., Newberg, J.Y., Orjalo, A., Johansson, H.E. & Mancini, M.A.
Coactivators enable glucocorticoid receptor recruitment to fine-tune estrogen
receptor transcriptional responses. Nucleic acids research 41, 4036-4048
(2013).
11. Castro, D.J.,
Maurer, J., Hebbard, L. & Oshima, R.G. ROCK1 inhibition promotes the self-renewal
of a novel mouse mammary cancer stem cell. Stem cells 31, 12-22 (2013).
12. Kostrominova,
T.Y., Reiner, D.S., Haas, R.H., Ingermanson, R. & McDonough, P.M. Automated
methods for the analysis of skeletal muscle fiber size and metabolic type.
International review of cell and molecular biology 306, 275-332 (2013).
13. McDonough, P.M.,
Maciejewski-Lenoir, D., Hartig, S.M., Hanna, R.A., Whittaker, R., Heisel, A.,
Nicoll, J.B., Buehrer, B.M., Christensen, K., Mancini, M.G., Mancini, M.A.,
Edwards, D.P. & Price, J.H. Differential phosphorylation of perilipin 1A at
the initiation of lipolysis revealed by novel monoclonal antibodies and high
content analysis. PloS one 8, e55511 (2013).
14. Prigozhina,
N.L., Heisel, A.J., Seldeen, J.R., Cosford, N.D. & Price, J.H. Amphiphilic
suramin dissolves Matrigel, causing an 'inhibition' artefact within in vitro
angiogenesis assays. International journal of experimental pathology 94,
412-417 (2013).
15. Dasgupta, I.,
Tanifum, E.A., Srivastava, M., Phatak, S.S., Cavasotto, C.N., Analoui, M. &
Annapragada, A. Non inflammatory boronate based glucose-responsive insulin
delivery systems. PloS one 7, e29585 (2012).
16. Ding, Z.,
German, P., Bai, S., Feng, Z., Gao, M., Si, W., Sobieski, M.M., Stephan, C.C.,
Mills, G.B. & Jonasch, E. Agents that stabilize mutated von Hippel-Lindau
(VHL) protein: results of a high-throughput screen to identify compounds that
modulate VHL proteostasis. Journal of biomolecular screening 17, 572-580
(2012).
17. Hartig, S.M.,
He, B., Newberg, J.Y., Ochsner, S.A., Loose, D.S., Lanz, R.B., McKenna, N.J.,
Buehrer, B.M., McGuire, S.E., Marcelli, M. & Mancini, M.A. Feed-forward
inhibition of androgen receptor activity by glucocorticoid action in human
adipocytes. Chemistry & biology 19, 1126-1141 (2012).
18. Slattery, S.D.,
Newberg, J.Y., Szafran, A.T., Hall, R.M., Brinkley, B.R. & Mancini, M.A. A
framework for image-based classification of mitotic cells in asynchronous
populations. Assay and drug development technologies 10, 161-178 (2012).
19. Uray, I.P.,
Rodenberg, J.M., Bissonnette, R.P., Brown, P.H. & Mancini, M.A.
Cancer-preventive rexinoid modulates neutral lipid contents of mammary
epithelial cells through a peroxisome proliferator-activated receptor
gamma-dependent mechanism. Molecular pharmacology 81, 228-238 (2012).
20. Zhang, X., Bolt,
M., Guertin, M.J., Chen, W., Zhang, S., Cherrington, B.D., Slade, D.J.,
Dreyton, C.J., Subramanian, V., Bicker, K.L., Thompson, P.R., Mancini, M.A.,
Lis, J.T. & Coonrod, S.A. Peptidylarginine deiminase 2-catalyzed histone H3
arginine 26 citrullination facilitates estrogen receptor alpha target gene
activation. Proceedings of the National Academy of Sciences of the United
States of America 109, 13331-13336 (2012).
21. Ashcroft, F.J.,
Newberg, J.Y., Jones, E.D., Mikic, I. & Mancini, M. High content imaging-based
assay to classify estrogen receptor-alpha ligands based on defined mechanistic
outcomes. Gene (2011).
22. Hartig, S.M.,
He, B., Long, W., Buehrer, B.M. & Mancini, M.A. Homeostatic levels of SRC-2
and SRC-3 promote early human adipogenesis. J Cell Biol 192, 55-67 (2011).
23. Prigozhina,
N.L., Heisel, A., Wei, K., Noberini, R., Hunter, E.A., Calzolari, D., Seldeen,
J.R., Pasquale, E.B., Ruiz-Lozano, P., Mercola, M. & Price, J.H.
Characterization of a novel angiogenic model based on stable, fluorescently
labelled endothelial cell lines amenable to scale-up for high content
screening. Biol Cell 103, 467-481 (2011).
24. Quintavalle, M.,
Elia, L., Price, J.H., Heynen-Genel, S. & Courtneidge, S.A. A cell-based
high-content screening assay reveals activators and inhibitors of cancer cell
invasion. Science signaling 4, ra49 (2011).
25. Yip, K.W.,
Cuddy, M., Pinilla, C., Giulanotti, M., Heynen-Genel, S., Matsuzawa, S. &
Reed, J.C. A high-content screening (HCS) assay for the identification of
chemical inducers of PML oncogenic domains (PODs). Journal of biomolecular
screening 16, 251-258 (2011).
26. Garcia-Becerra,
R., Berno, V., Ordaz-Rosado, D., Sharp, Z.D., Cooney, A.J., Mancini, M.A. &
Larrea, F. Ligand-induced large-scale chromatin dynamics as a biosensor for the
detection of estrogen receptor subtype selective ligands. Gene 458, 37-44
(2010).
27. Kiselyuk, A.,
Farber-Katz, S., Cohen, T., Lee, S.H., Geron, I., Azimi, B., Heynen-Genel, S.,
Singer, O., Price, J., Mercola, M., Itkin-Ansari, P. & Levine, F.
Phenothiazine neuroleptics signal to the human insulin promoter as revealed by
a novel high-throughput screen. Journal of biomolecular screening 15, 663-670
(2010).
28. McDonough, P.M.,
Ingermanson, R.S., Loy, P.A., Koon, E.D., Whittaker, R., Laris, C.A., Hilton,
J.M., Nicoll, J.B., Buehrer, B.M. & Price, J.H. Quantification of Hormone
Sensitive Lipase Phosphorylation and Colocalization with Lipid Droplets in
Murine 3T3L1 and Human Subcutaneous Adipocytes via Automated Digital Microscopy
and High-Content Analysis. Assay and drug development technologies (2010).
29. Narayanan, R.,
Yepuru, M., Szafran, A.T., Szwarc, M., Bohl, C.E., Young, N.L., Miller, D.D.,
Mancini, M.A. & Dalton, J.T. Discovery and mechanistic characterization of
a novel selective nuclear androgen receptor exporter for the treatment of
prostate cancer. Cancer Res 70, 842-851 (2010).
30. Whittaker, R.,
Loy, P.A., Sisman, E., Suyama, E., Aza-Blanc, P., Ingermanson, R.S., Price,
J.H. & McDonough, P.M. Identification of MicroRNAs that control lipid
droplet formation and growth in hepatocytes via high-content screening. Journal
of biomolecular screening 15, 798-805 (2010).
31. Zou, J., Ganji,
S., Pass, I., Ardecky, R., Peddibhotla, M., Loribelle, M., Heynen-Genel, S.,
Sauer, M., Pass, I., Vasile, S., Suyama, E., Malany, S., Mangravita-Novo, A.,
Vicchiarelli, M., McAnally, D., Cheltsov, A., Derek, S., Shi, S., Su, Y., Zeng,
F.Y., Pinkerton, A.B., Smith, L.H., Kim, S., Ngyuen, H., Zeng, F.Y., Diwan, J.,
Heisel, A.J., Coleman, R., McDonough, P.M. & Chung, T.D.Y. Potent
inhibitors of lipid droplet formation. in Probe Reports from the NIH Molecular
Libraries Program (Bethesda (MD), 2010).
32. Buck, T.E., Rao,
A., Coelho, L.P., Fuhrman, M.H., Jarvik, J.W., Berget, P.B. & Murphy, R.F.
Cell cycle dependence of protein subcellular location inferred from static,
asynchronous images. Conf Proc IEEE Eng Med Biol Soc 2009, 1016-1019 (2009).
33. Coelho, L.P.,
Shariff, A. & Murphy, R.F. Nuclear Segmentation in Microscope Cell Images:
A Hand-Segmented Dataset and Comparison of Algorithms. Proc IEEE Int Symp
Biomed Imaging 5193098, 518-521 (2009).
34. Giordano, C.,
Cui, Y., Barone, I., Ando, S., Mancini, M.A., Berno, V. & Fuqua, S.A.
Growth factor-induced resistance to tamoxifen is associated with a mutation of
estrogen receptor alpha and its phosphorylation at serine 305. Breast Cancer
Res Treat 119, 71-85 (2009).
35. Heynen-Genel, S.
& Price, J. Cytometric Features of Fluorescently Labeled Nuclei for Cell
Classification. in Handbook of Medical Image Processing and Analysis, Vol. 1
(ed. Bankman, I.) 453-463 (Academic Press, 2009).
36. McDonough, P.M.,
Agustin, R.M., Ingermanson, R.S., Loy, P.A., Buehrer, B.M., Nicoll, J.B.,
Prigozhina, N.L., Mikic, I. & Price, J.H. Quantification of Lipid Droplets
and Associated Proteins in Cellular Models of Obesity via
High-Content/High-Throughput Microscopy and Automated Image Analysis. Assay and
drug development technologies (2009).
37. Slattery, S.D.,
Mancini, M.A., Brinkley, B.R. & Hall, R.M. Aurora-C kinase supports mitotic
progression in the absence of Aurora-B. Cell Cycle 8, 2984-2994 (2009).
38. Szafran, A.T.,
Hartig, S., Sun, H., Uray, I.P., Szwarc, M., Shen, Y., Mediwala, S.N., Bell,
J., McPhaul, M.J., Mancini, M.A. & Marcelli, M. Androgen receptor mutations
associated with androgen insensitivity syndrome: a high content analysis
approach leading to personalized medicine. PloS one 4, e8179 (2009).
39. Willems, E.,
Bushway, P.J. & Mercola, M. Natural and synthetic regulators of embryonic
stem cell cardiogenesis. Pediatr Cardiol 30, 635-642 (2009).
40. Berno, V.,
Amazit, L., Hinojos, C., Zhong, J., Mancini, M. G., Sharp, Z. D., Mancini, M.
A. Activation of estrogen receptor-alpha by E2 or EGF induces temporally
distinct patterns of large-scale chromatin modification and mRNA transcription.
PloS one 3, e2286 (2008).
41. Bushway, P.J.,
Mercola, M. & Price, J.H. A comparative analysis of standard microtiter
plate reading versus imaging in cellular assays. Assay and drug development
technologies 6, 557-567 (2008).
42. Szafran, A.T.,
Szwarc, M., Marcelli, M. & Mancini, M.A. Androgen receptor functional
analyses by high throughput imaging: determination of ligand, cell cycle, and
mutation-specific effects. PloS one 3, e3605 (2008).
43. Amazit, L.,
Pasini, L., Szafran, A.T., Berno, V., Wu, R.C., Mielke, M., Jones, E.D.,
Mancini, M.G., Hinojos, C.A., O'Malley, B.W. & Mancini, M.A. Regulation of
SRC-3 intercompartmental dynamics by estrogen receptor and phosphorylation.
Molecular and cellular biology 27, 6913-6932 (2007).
44. Garcia Osuna,
E., Hua, J., Bateman, N.W., Zhao, T., Berget, P.B. & Murphy, R.F.
Large-scale automated analysis of location patterns in randomly tagged 3T3
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