Microscopic differential interference contrast image processing by line integration (LID) and deconvolution

Differential interference contrast (DIC) light microscopy, particularly when coupled with digital image processing, is a powerful tool for the high-resolution microscopy of unstained, transparent biological specimens and can equally well be applied to semiconductor measurements. We show analytically, and with images of diatoms, plant cells and protoplasts, that switching the polarization of the incident light by 90 degrees, changes the image highlights found in conventional DIC images into shadows and vice versa (1). Using a ferroelectric liquid-crystal modulator, this switching can be done at frame rates, synchronized to the camera. By subtracting alternate frames, a stream of difference DIC images is created. We call this technique Pol Mod DIC. Subtraction of alternate images is carried out efficiently by frame buffer operations and amounts to massively parallel synchronous detection. A similar method has been applied to confocal microscopy (2).

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Long-term observation of cultured cells by interference-reflection microscopy: near infrared illumination and Y-contrast image processing

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100102432 ◽

1988 ◽

Vol 46 ◽

pp. 70-71

Author(s):

M. S. Zand ◽

G. Albrecht-Buehler

Keyword(s):

Image Processing ◽

Near Infrared ◽

Cultured Cells ◽

Video Recording ◽

Time Lapse ◽

Live Cells ◽

3 Dimensional ◽

Long Term Observation ◽

Contrast Image

Analysis of dynamic changes in cell-substratum adhesion patterns during cell locomotion requires continuous, extended observation of single living cells. To date, interference-reflection microscopy (IRM) is the only method available to visualize cell -substratum adhesions in vitro. This method uses 1% of the incident illumination to produce an IRM image, and so far requires use of a high intensity visible light source (400 - 800 nm). However, light of this intensity and spectral range induces marked changes in fibroblast behavior, including cessation of locomotion. Therefore, we developed a method allowing continuous IRM observation of live cells for up to 8 hours, without any observable changes in normal cell behavior, using near infrared illumination (750-1100 nm). In addition, we use Y-contrast image processing of IRM images to create a 3-dimensional relief of the ventral cell surface.Single locomoting PTK1 cells were observed continuously in IRM with time lapse video recording for periods of up to 8 hours.

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Improvement of Speckle Contrast Image Processing by an Efficient Algorithm

Advances in Experimental Medicine and Biology - Oxygen Transport to Tissue XXXVII ◽

10.1007/978-1-4939-3023-4_53 ◽

2016 ◽

pp. 419-425

Author(s):

A. Steimers ◽

W. Farnung ◽

M. Kohl-Bareis

Keyword(s):

Image Processing ◽

Efficient Algorithm ◽

Speckle Contrast ◽

Contrast Image

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Controlling contrast and luma of digital images by transformation of pixel brightness through power function

VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MANAGEMENT COMPUTER SCIENCE AND INFORMATICS ◽

10.24143/2072-9502-2020-2-70-76 ◽

2020 ◽

Vol 2020 (2) ◽

pp. 70-76

Author(s):

Alexey Raukhvarger ◽

Vladislav Vladimirovich Martyanov

Keyword(s):

Image Processing ◽

Simple Model ◽

Power Function ◽

Digital Image ◽

Function Analysis ◽

Low Contrast ◽

Pixel Brightness ◽

Image Details ◽

Contrast Image ◽

Better Than

The article considers the possibility of controlling the brightness and contrast of the digital image by transformation of the pixel brightness through the power function. Analysis of the parameters of the converted images on the simple model of dark low contrast image has been carried out. The preferred values of parameters and possible ranges of brightness and contrast are determined. The results of transformation of the dark low contrast images compared with the results of image processing by other methods (approximated by reduction of a histogram to a uniform distribution and a television algorithm) are investigated. It has been stated that the parameters of the considered transformation can be chosen, so that the improvement of the distinguishability of the image details will be much better than using the methods with which the comparison is made.

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Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

International Astronomical Union Colloquium ◽

10.1017/s0252921100031493 ◽

1999 ◽

Vol 173 ◽

pp. 243-248

Author(s):

D. Kubáček ◽

A. Galád ◽

A. Pravda

Keyword(s):

Image Processing ◽

Large Scale ◽

Harvard College ◽

Oak Ridge ◽

Large Scale Structures ◽

Short Period Comet ◽

Short Period ◽

Scale Structures ◽

Harvard College Observatory ◽

Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

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Analysis of the 9th November 1990 flare

International Astronomical Union Colloquium ◽

10.1017/s025292110006454x ◽

2000 ◽

Vol 179 ◽

pp. 229-232

Author(s):

Anita Joshi ◽

Wahab Uddin

Keyword(s):

Image Processing ◽

Two Dimensional ◽

Temporal Behaviour ◽

Contour Maps ◽

Dimensional Measurements ◽

Processing Software ◽

Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

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The 'well-known' theory of electron image formation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100075233 ◽

1983 ◽

Vol 41 ◽

pp. 288-289

Author(s):

M.A. O'Keefe ◽

W.O. Saxton

Keyword(s):

Image Processing ◽

Image Formation ◽

Source Profiles ◽

Electron Image

A recent paper by Kirkland on nonlinear electron image processing, referring to a relatively new textbook, highlights the persistence in the literature of calculations based on incomplete and/or incorrect models of electron imageing, notwithstanding the various papers which have recently pointed out the correct forms of the appropriate equations. Since at least part of the problem can be traced to underlying assumptions about the illumination coherence conditions, we attempt to clarify both the assumptions and the corresponding equations in this paper, illustrating the effects of an incorrect theory by means of images calculated in different ways.The first point to be made clear concerning the illumination coherence conditions is that (except for very thin specimens) it is insufficient simply to know the source profiles present, i.e. the ranges of different directions and energies (focus levels) present in the source; we must also know in general whether the various illumination components are coherent or incoherent with respect to one another.

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