Literature DB >> 27045831

FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response Measure.

Madhu S Sigdel, Madhav Sigdel, Semih Dinç, Imren Dinç, Marc L Pusey, Ramazan S Aygün.   

Abstract

Automated image analysis of microscopic images such as protein crystallization images and cellular images is one of the important research areas. If objects in a scene appear at different depths with respect to the camera's focal point, objects outside the depth of field usually appear blurred. Therefore, scientists capture a collection of images with different depths of field. Focal stacking is a technique of creating a single focused image from a stack of images collected with different depths of field. In this paper, we introduce a novel focal stacking technique, FocusALL, which is based on our modified Harris Corner Response Measure. We also propose enhanced FocusALL for application on images collected under high resolution and varying illumination. FocusALL resolves problems related to the assumption that focus regions have high contrast and high intensity. Especially, FocusALL generates sharper boundaries around protein crystal regions and good in focus images for high resolution images in reasonable time. FocusALL outperforms other methods on protein crystallization images and performs comparably well on other datasets such as retinal epithelial images and simulated datasets.

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Year:  2016        PMID: 27045831      PMCID: PMC4888603          DOI: 10.1109/TCBB.2015.2459685

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  11 in total

1.  On the extended depth of focus algorithms for bright field microscopy.

Authors:  A G Valdecasas; D Marshall; J M Becerra; J J Terrero
Journal:  Micron       Date:  2001-08       Impact factor: 2.251

2.  Comparative evaluation of autofocus algorithms for a real-time system for automatic detection of Mycobacterium tuberculosis.

Authors:  José María Mateos-Pérez; Rafael Redondo; Rodrigo Nava; Juan C Valdiviezo; Gabriel Cristóbal; Boris Escalante-Ramírez; María Jesús Ruiz-Serrano; Javier Pascau; Manuel Desco
Journal:  Cytometry A       Date:  2012-01-30       Impact factor: 4.355

3.  Autofocus evaluation for brightfield microscopy pathology.

Authors:  Rafael Redondo; Gloria Bueno; Juan Carlos Valdiviezo; Rodrigo Nava; Gabriel Cristóbal; Oscar Déniz; Marcial García-Rojo; Jesus Salido; Maria del Milagro Fernández; Juan Vidal; Boris Escalante-Ramírez
Journal:  J Biomed Opt       Date:  2012-03       Impact factor: 3.170

4.  Evaluation of autofocus functions of conventional sputum smear microscopy for tuberculosis.

Authors:  Almir Kimura Junior; Marly G F Costa; Cicero F F Costa Filho; Luciana B M Fujimoto; Julia Salem
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

5.  Complex wavelets for extended depth-of-field: a new method for the fusion of multichannel microscopy images.

Authors:  Brigitte Forster; Dimitri Van De Ville; Jesse Berent; Daniel Sage; Michael Unser
Journal:  Microsc Res Tech       Date:  2004-09       Impact factor: 2.769

6.  Autofocusing in computer microscopy: selecting the optimal focus algorithm.

Authors:  Yu Sun; Stefan Duthaler; Bradley J Nelson
Journal:  Microsc Res Tech       Date:  2004-10       Impact factor: 2.769

7.  Dynamic evaluation of autofocusing for automated microscopic analysis of blood smear and pap smear.

Authors:  X Y Liu; W H Wang; Y Sun
Journal:  J Microsc       Date:  2007-07       Impact factor: 1.758

8.  Digital composition of images with increased depth of focus considering depth information.

Authors:  S A Sugimoto; Y Ichioka
Journal:  Appl Opt       Date:  1985-07-15       Impact factor: 1.980

9.  Autofocusing for Microscopic Images using Harris Corner Response Measure.

Authors:  Madhu S Sigdel; Madhav Sigdel; Semih Dinç; İmren Dinç; Marc L Pusey; Ramazan S Aygün
Journal:  Proc IEEE Southeastcon       Date:  2014-03

10.  Real-Time Protein Crystallization Image Acquisition and Classification System.

Authors:  Madhav Sigdel; Marc L Pusey; Ramazan S Aygun
Journal:  Cryst Growth Des       Date:  2013-07-03       Impact factor: 4.076

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  4 in total

1.  Super-Thresholding: Supervised Thresholding of Protein Crystal Images.

Authors:  Imren Dinc; Semih Dinc; Madhav Sigdel; Madhu S Sigdel; Marc L Pusey; Ramazan S Aygun
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016-03-16       Impact factor: 3.710

2.  Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images.

Authors:  Truong X Tran; Marc L Pusey; Ramazan S Aygun
Journal:  J Fluoresc       Date:  2020-04-20       Impact factor: 2.217

3.  Fast Multi-Focus Fusion Based on Deep Learning for Early-Stage Embryo Image Enhancement.

Authors:  Vidas Raudonis; Agne Paulauskaite-Taraseviciene; Kristina Sutiene
Journal:  Sensors (Basel)       Date:  2021-01-28       Impact factor: 3.576

4.  Automated Drawing Tube (Camera Lucida) Method in Light Microscopy Images Analysis Can Comes True.

Authors:  Fatemeh Vahabi; Saeed Kermani; Zahra Vahabi; Nader Pestechian
Journal:  J Microsc Ultrastruct       Date:  2021-11-22
  4 in total

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