Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images

Abstract To estimate productivity of a fish stock, the precise determination of fish fecundity is essential. The stereological method accurately estimates fecundity from histological images of a fish gonad. For that purpose, a hexagonal grid is overlaid on the histological image and the number of grid points associated to each oocyte (reproductive cells) category and the number of oocytes in each category is counted. This process is done manually often using off-the-shelf software, but it is very time-consuming, requires specialized technicians, and does not allow to review the calculations. In this paper, we describe and evaluate the software Govocitos, which offers an easy and automatic way to estimate fecundity using the stereological method. Govocitos contains a module to automatically detects the matured oocytes in the slice (nearly 80% of oocytes are correctly detected) and a module to automatically classify the oocytes according to the presence/absence of nucleus (with 84% of accuracy) and to three development stages (with 87% of accuracy). It also provides a user friendly GUI that allows the experts to modify the outlines and classifications of oocytes, to calculate diameters, areas and roundness, to build diameter frequency histograms, to count the points and objects inside the grid, to estimate partial and potential fecundity and to export the data to files and into a database. In addition, Govocitos provides the possibility of varying grid characteristics, it can be trained to work with different species and it allows to check and supervise the calculations whenever needed including in a later point in time. Govocitos is a free software that can be downloaded from http://lia.ei.uvigo.es/daeira/software/govocitos or http://citius.usc.es/w/govocitos .

[1]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Gerd Kraus,et al.  Procedures to estimate fecundity of marine fish species in relation to their reproductive strategy , 2003 .

[3]  E. Weibel,et al.  A principle for counting tissue structures on random sections. , 1962, Journal of applied physiology.

[4]  Boaz Zion,et al.  Review: The use of computer vision technologies in aquaculture - A review , 2012 .

[5]  E. Weibel Stereological Methods. Practical methods for biological morphometry , 1979 .

[6]  Nicolai Petkov,et al.  Edge and line oriented contour detection: State of the art , 2011, Image Vis. Comput..

[7]  Gerd Kraus,et al.  Procedures to Estimate Fecundity of Wild Collected Marine Fish in Relation to Fish Reproductive Strategy , 2003 .

[8]  Arno Formella,et al.  RECOGNIZE AND CLASSIFY FISH OOCYTES IN HISTOLOGICAL IMAGES , 2008 .

[9]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[10]  Daoliang Li,et al.  Fish species classification by color, texture and multi-class support vector machine using computer vision , 2012 .

[11]  Arno Formella,et al.  Combining region and edge information to extract fish oocytes in histological images , 2007 .

[12]  Fran Saborido-Rey,et al.  Female Reproductive Strategies of Marine Fish Species of the North Atlantic , 2003 .

[13]  Reuben Lasker,et al.  An egg production method for estimating spawning biomass of pelagic fish : application to the Northern Anchovy, Engraulis mordax , 1985 .

[14]  Manuel Fernández Delgado,et al.  Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary , 2013, Pattern Recognit..

[15]  Hunter,et al.  Fecundity, Spawning, and Maturity of Female Dover Sole, Microstomus Pacificus, with an Evaluation of Assumptions and Precision , 2013 .

[16]  T. Katsukawa Points of view: Introduction of spawning potential: improvement in the threshold management theory , 1997, Reviews in Fish Biology and Fisheries.

[17]  P. R. Witthames,et al.  A stereological method for estimating fish fecundity , 1990 .

[18]  John Reidar Mathiassen,et al.  Trends in application of imaging technologies to inspection of fish and fish products , 2011 .

[19]  Arno Formella,et al.  Comparison of Region and Edge Segmentation Approaches to Recognize Fish Oocytes in Histological Images , 2006, ICIAR.

[20]  P. R. Witthames,et al.  An automated method for counting and sizing fish eggs , 1987 .

[21]  Xavier Cufí,et al.  Strategies for image segmentation combining region and boundary information , 2003, Pattern Recognit. Lett..