High-speed microscopy of continuously moving cell culture vessels

We report a method of high-speed phase contrast and bright field microscopy which permits large cell culture vessels to be scanned at much higher speed (up to 30 times faster) than when conventional methods are used without compromising image quality. The object under investigation moves continuously and is captured using a flash illumination which creates an exposure time short enough to prevent motion blur. During the scan the object always stays in focus due to a novel hardware-autofocus system.

[1]  Nico Stuurman,et al.  Computer Control of Microscopes Using µManager , 2010, Current protocols in molecular biology.

[2]  Bradley J Nelson,et al.  Autofocusing in computer microscopy: Selecting the optimal focus algorithm , 2004, Microscopy research and technique.

[3]  Christian Willert,et al.  Pulsed operation of high-power light emitting diodes for imaging flow velocimetry , 2010 .

[4]  Lam K. Nguyen,et al.  Publisher's Note: Dynamic autofocus for continuous-scanning time-delay-and-integration image acquisition in automated microscopy , 2007 .

[5]  A. Fercher,et al.  Measurement of intraocular distances by backscattering spectral interferometry , 1995 .

[6]  Saul I. Shupack,et al.  Fast algorithm for the resolution of spectra , 1986 .

[7]  Janne Heikkilä,et al.  A four-step camera calibration procedure with implicit image correction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Z. Kam,et al.  Laser autofocusing system for high‐resolution cell biological imaging , 2006, Journal of microscopy.

[9]  Stephan Rupp,et al.  Efficient large scale image stitching for virtual microscopy , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Fritz Klocke,et al.  Automatic Production of Induced Pluripotent Stem Cells , 2013 .

[11]  T. Ichisaka,et al.  Induction of Pluripotent Stem Cells from Adult Human Fibroblasts by Defined Factors , 2007, Cell.

[12]  T Pengo,et al.  Halton sampling for autofocus , 2009, Journal of microscopy.

[13]  Mark H. Ellisman,et al.  High-resolution large-scale mosaic imaging using multiphoton microscopy to characterize transgenic mouse models of human neurological disorders , 2007, Neuroinformatics.

[14]  Michael C. Montalto,et al.  Autofocus methods of whole slide imaging systems and the introduction of a second-generation independent dual sensor scanning method , 2011, Journal of pathology informatics.

[15]  Joseph A. Izatt,et al.  Theory of Optical Coherence Tomography , 2008 .

[16]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[17]  G. Ripandelli,et al.  Optical coherence tomography. , 1998, Seminars in ophthalmology.

[18]  Lucas J. van Vliet,et al.  A fast scanner for fluorescence microscopy using a 2-D CCD and time delayed integration , 1994 .

[19]  Jeffrey H. Price,et al.  Exploiting chromatic aberration for image-based microscope autofocus , 2011 .

[20]  Pablo Juan Garcia,et al.  Measurement of mortar permittivity during setting using a coplanar waveguide , 2010 .

[21]  Jeffrey H Price,et al.  Dynamic autofocus for continuous-scanning time-delay-and-integration image acquisition in automated microscopy. , 2007, Journal of biomedical optics.

[22]  Robert Schmitt,et al.  Metrology-based quality and process control in automated stem cell production , 2015 .

[23]  K R Castleman The PSI automatic metaphase finder. , 1992, Journal of radiation research.

[24]  G Shippey,et al.  A fast interval processor (FIP) for cervical prescreening. , 1981, Analytical and quantitative cytology.