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- PublicaciónSólo datos3D scene reconstruction Based on a 2D moving LiDAR(Springer, Cham, 2018-10-25) Murcia Moreno, Harold Fabián; Monroy, Maria Fernanda; Mora, Luis FernandoA real-world reconstruction from a computer graphics tool is one of the main issues in two different communities: robotics and artificial intelligence, both of them under different points of view such as computer science, perception and machine vision. A real scene can be reconstructed by generating of point clouds with the help of depth sensors, rotational elements and mathematical transformations according to the mechanical design. This paper presents the development of a three-dimensional laser range finder based on a two-dimensional laser scanner Hokuyo URG-04LX-UG01 and a step motor. The design and kinematic model of the system to generate 3D point clouds are presented with an experimental acquisition algorithm implemented on Robotic Operative System ROS in Python language. The quality of the generated reconstruction is improved with a calibration algorithm based on a model parameter optimization from a reference surface, the results from the calibrated model were compared with a commercial low-cost device. The concurrent application of the system permits the viewing of the scene from different perspectives. The output files can be easily visualized with Python or MATLAB and used for surface reconstruction, scene classification or mapping. In this way, typical robotic tasks can be realized, highlighting autonomous navigation, collision avoidance, grasp calculation and handling of objects.
- PublicaciónSólo datosA Comparative Study of 3D Plant Modeling Systems Based on Low-Cost 2D LiDAR and Kinect(Lecture Notes in Computer Science, 2021-05-16) Murcia, Harold; Sanabria, David; Méndez, Dehyro; Forero, Manuel G.Morphological information of plants is an essential resource for different agricultural machine vision applications, which can be obtained from 3D models through reconstruction algorithms. Three dimensional modeling of a plant is an XYZ spatial representation used to determine its physical parameters from, for example, a point cloud. Currently two low-cost methods have gained popularity in terms of 3D object reconstructions in 360 ∘ employing rotating platforms, based on 2D LiDAR and Kinect. In this paper, these two techniques are compared by getting a 3D model of a Dracaena braunii specie and evaluating their performance. The results are shown in terms of their accuracy and time consumption using a Kinect V1 and a LiDAR URG-04LX-UG01, a well-performance low-cost scanning rangefinder from Hokuyo manufacturer. In terms of error calculation, the Kinect-based system probed to be more accurate than the LiDAR-based, with an error less than 20% in all plant measurements. In addition, the point cloud density reached with Kinect was approximately four times higher than with LiDAR. But, acquisition and processing time was about twice than LiDAR system.
- PublicaciónSólo datosA Fast Pareto Approach to Minimize Regular Criteria in the Job-shop Scheduling Problem with Maintenance Activities, Sequence Dependent and Set-up Times(Communications in Computer and Information Science, 2020-10-08) García-León, Andrés A.; Torres Tapia, William F.In the Job-shop scheduling problem minimizing the makespan has been the dominant approach in the literature. The level of the customer service cannot be measured efficiently for this criterion, since it does not consider relevant aspects like the due date of jobs to determine the tardiness. In this paper, we propose an innovate general approach for minimizing regular criteria in the Job-shop Scheduling which adds the conditions of maintenance activities and sequence dependent set-up times considering the Pareto optimization. Our approach makes use of the disjunctive graph model to represent schedules and support the search for an optimal solution using a classical estimation function at reversing a critical arc. The search is performed by two phases: improvement and diversification. In the improvement phase, initially, a random criterion is selected to create improving moves iteratively. When it is not possible to create a move using the selected criterion, it is penalized and a new criterion is selected. The diversification phase considers feasibility conditions to escape from a local optimal. In each move the set of solutions of the front is updated. The efficiency of our approach is illustrated on instances of literature at performing three sets of criteria. The first set considers makespan and maximum tardiness. In the second ∑Ci is considered and in the third the total tardiness. As a contribution of our approach, a benchmark of results is proposed by future research.
- PublicaciónSólo datosA Hybrid Algorithm to Minimize Regular Criteria in the Job-shop Scheduling Problem with Maintenance Activities, Sequence Dependent and Set-up Times(Communications in Computer and Information Science, 2020-10-08) García-León, Andrés A.; Torres Tapia, William F.The scheduling problems have been analyzed considering that the processing time of operations is known and normally without maintenance activities and set up times between jobs. Minimizing makespan is the most studied criterion, which does not consider important aspects for measuring the customer service like the due date and the importance between customers. Besides, the few level of publications based on regular criteria have not considered the maintenance activities and sequence dependent set-up times, which affects the finalization of jobs. In this paper, we propose a hybrid approach for minimizing regular criteria in the Job-shop Scheduling problem with maintenance activities and sequence dependent set-up times. It is an ant colony Min-Max system, which is improved with a local search algorithm at increasing the neighborhood. Our approach makes use of the disjunctive graph model to represent schedules and support the search for an optimal at reversing a critical arc that affects the criterion during the improvement phase and pheromone is supplied to the arcs that solve the problem if the global optimal is gotten. In the diversification phase, a parallel search of k ants is executed considering the pheromone on the arcs to escape of a local optimal and the best ant returns to improvement step. The quality of our approach is illustrated on known instances at adding information. The superiority respect to local search process and a classic ACO is evaluated. Finally, a reference of results is proposed for various regular criteria.
- PublicaciónSólo datosA low GHG development pathway design framework for agriculture, forestry and land use(Energy Strategy Reviews, 2021-09-01) Svensson, Johannes; Waisman, Henri; Vogt-Schilb, Adrien; Bataille, Chris; Aubert, Pierre-Marie; Jaramilo-Gil, Marcela; Angulo-Paniagua, Jam; Arguello, Ricardo; Bravo, Gonzalo; Buira, Daniel; Collado, Mauricio; De La Torre Ugarte, Daniel; Delgado, Ricardo; Lallana, Francisco; Quiros-Tortos, Jairo; Soria, Rafael; Tovilla, Jordi; Villamar, DanielAgriculture, forestry and other land use (AFOLU) represent 22% of global greenhouse gas emissions. To meet the objectives of the Paris Agreement, the AFOLU sector greenhouse gases must be dramatically reduced and eventually transformed to net negative CO2e within this century. The decarbonisation choices will have significant environmental, social and economic impacts, yet few analytical frameworks exist able to account holistically for AFOLU mitigation strategies and their sustainable development impacts in a way that combines advantages of global and national approaches to decarbonisation pathways. This paper proposes a pathway design framework for AFOLU decarbonisation strategies that can help governments set targets across four types of levers (increasing sequestration; improving the emissions efficiency of agriculture; incentivising dietary changes; and displacing fossil fuels with bioenergy) and help them navigate potential synergies and trade-offs with sustainable development objectives (notably food security, biodiversity preservation, poverty alleviation and job creation), in a way that facilitates co-construction and discussion with main stakeholders.
- PublicaciónSólo datosA model of anaerobic digestion for biogas production using abel equations(Far East Journal of Mathematical Sciences, 2017-03-21) Acosta-Humánez, Primitivo B.; Machado-Higuera, Maximiliano; Sinitsyn, Alexander V.Some time ago has been studied mathematical models for biogas production due to its importance in the use of control and optimization of re\-new\-able resources and clean energy. In this paper we combine two algebraic methods to obtain solutions of Abel equation of first kind that arise from a mathematical model to biogas production formulated in France on 2001. The aim of this paper is obtain Liouvillian solutions of Abel's equations through Hamiltonian Algebrization. As an illustration, we present graphics of solutions for Abel equations and solutions for algebrized Abel equations.
- PublicaciónSólo datosA new and simple electroanalytical method to detect thiomersal in vaccines on a screen-printed electrode modified with chitosan(Analytical Methods, 2018-03-02) González, Camila; García-Beltrán, Olimpo; Nagles, EdgarThe use of a screen-printed electrode modified with chitosan (Cs) to determine thiomersal (TMS) through the oxidation of thiosalicylic acid by linear sweep anodic stripping voltammetry is reported for the first time in this work. The screen-printed electrode was coated with chitosan (Cs/SPCE) and the surface was studied with cyclic voltammetry and electrochemical impedance spectroscopy. The modified electrode presented activity towards the oxidation of thiomersal (TMS) at 0.24 V. The signal is the product of the oxidation of the thiosalicylic acid or organic part and not of the mercury in the chemical structure of thiomersal. Optimal parameters for linear sweep anodic stripping voltammetry were pH 3.2 in phosphate buffer solution (PBS), accumulation time (tACC) 90 s, accumulation potential (EACC) −1.0 V and scan rate 100.0 mV s−1; the oxidation signal was proportional to the concentration of TMS between 0.99 and 10.90 μmol L−1, with a detection limit of 0.038 μmol L−1 and the relative standard deviation (RSD) was 5.0% using seven different electrodes. The sensor was used in human urine samples spiked with thiomersal and commercial cattle vaccines with consistent results.
- PublicaciónSólo datosA New Electrochemical Method to Detect Sunset Yellow, Tartrazine and Thiomersal in a Pharmaceutical Dose Using a Carbon Paste Electrode Decorated with Molybdenum Oxide(Electroanalysis, 2020-07-09) Penagos‐Llanos, Johisner; García‐Beltrán, Olimpo; Nagles, Edgar; Hurtado, John J.His report allowed the detection of three substances using a carbon paste decorated with MoO2 (MoO/CPE). Tartrazine (TZ), sunset yellow (SY) and thiomersal (TMS) were analyzed for adsorptive voltammetry. The electrode was characterized by scanning electron microscopy, energy dispersive spectroscopy and cyclic voltammetry. TZ, SY and TMS were observed at 1.07, 0.80 and 0.95 V respectively. The detection limits (3*σ/m) for TZ, SY and TMS were 0.04, 0.06 and 0.10 μmol/L, respectively. The new analytical method was applied using pharmaceutical samples.
- PublicaciónSólo datosA new method for detecting brain fibrosis in microscopy images using the neurocysticercosis pig model(Proceedings of SPIE - The International Society for Optical Engineering, 2020-08-24) Forero, Manuel G.; Lozano, Juan J.; Baquedano, Laura E.; Bustos, Javier A.; García, H. H.Neurocysticercosis (NCC) is considered a major cause of acquired epilepsy in most developing countries. Humans and pigs acquire cysticercosis ingesting T. solium eggs by the fecal-oral route. After ingestion, oncospheres disperse throughout the body producing cysts mainly in the central nervous system and striated muscles. The treatment is focused on antiparasitic, anti-inflammatory, and antiepileptic drugs; however, new drugs are being studied in animal models recently. The aim of this study was to perform histological image analysis of pig brains with NCC after antiparasitic treatment to develop future tools to study brain inflammation since usually the evaluation of fibrosis is obtained manually on microscopy images in a long, inaccurate, poorly reproducible, and tedious process. For this purpose, the slides of pig brains with NCC were stained with Masson's Trichrome, and high quality photographic images were taken. Then, image processing and machine learning were performed to detect the presence and extension of collagen fibers around the cyst as markers of fibrosis. The process includes the use of color normalization and probabilistic classification implemented in Java language as a plugin to the free access program ImageJ. This paper presents a new method to detect cerebral fibrosis, assessing the amount of fibrosis in the images with accuracy above 75% in 12 seconds. A manual editing tool allows us to raise the results above 90% faster and efficiently.
- PublicaciónSólo datosA new OpenFOAM proposal for the solution of diffusion problems(Thermal Science and Engineering Progress, 2021-09-01) Materano, Gilberto; Araujo, Carlos; Villa Ochoa, Alvaro AntonioOpenFOAM® is a powerful tool in the field of Computational Fluid Dynamics that allows users to model engineering processes employing different solvers and libraries that are easy to modify according to the user’s individual needs, thanks to an open-source environment with a free distribution license. This work, therefore, presents a new heat conduction solver build from laplacianFoam, capable of modelling cases with thermal conductivities and heat capacities not linearly correlated with the temperature field, on domains with multiple materials, as well as a new library to include a mixing boundary condition that makes the new solver adaptable to the study of heat diffusion. Three cases with experimental and numerical solutions made possible the verification, comparison and validation of the new solver, demonstrating its capabilities.
- PublicaciónSólo datosA New Pristella (Characiformes: Characidae) from the Río Orinoco Basin, Colombia, with a Redefinition of the Genus(Copeia, 2019-08-28) Conde-Saldaña, Cristhian C.; Albornoz-Garzón, Juan G.; García-Melo, Jorge E.; Villa-Navarro, Francisco A.; Mirande, J. Marcos; Lima, Flávio C. T.A new species of Pristella is described from the Río Meta drainage, Río Orinoco basin, Colombia. Pristella ariporo, new species, is described as the second known species of the genus and differs from P. maxillaris by lacking maxillary teeth, possessing all teeth of premaxilla and dentary conical, by the absence of a dark blotch on the pelvic fin and the absence of a humeral blotch. The evaluation of the relationships of the new taxon within Characidae through an extensive phylogenetic analysis recovered Pristella as a monophyletic clade, sister to Bryconella pallidifrons. A new diagnosis of Pristella is provided. Hyphessobrycon axelrodi, the only species of this genus possessing only conical teeth, may actually be a species of Pristella.
- PublicaciónSólo datosA new species of Pimelodella Eigenmann & Eigenmann, 1888 (Siluriformes: Heptapteridae) from the Sierra Nevada de Santa Marta, Colombia(Zootaxa, 2019-09-12) Conde-Saldaña, Cristhian; Albornoz-Garzón, Juan Gabriel; Garcia Melo, Jorge Enrique; Dergam, Jorge; Villa-Navarro, Francisco AntonioA new species of Pimelodella is described from northern coastal drainages of the Sierra Nevada de Santa Marta (SNSM), Colombia. The new species is diagnosed from all trans-Andean congeners by the following unique combination of characters: head length 22.2–23.7% SL, bony interorbital width 17.6–21.6% HL, maxillary barbels length 53.0–68.3% SL, inner mental-barbels length 14.4–20.0% SL, body width 17.6–21.1% SL, dorsal-fin spine length 8.3–13.7% SL, dorsal-fin base 12.3–14.9% SL, pectoral-fin spine length 12.9-14.5% SL, pectoral-fin spine length without dentations on the distal posterior margin 21.6–29.8% in pectoral-fin spine length, maximum depth of dentations in posterior margin of pectoral-fin spine 1.40–1.68 times in the width of the spine at its base, adipose-fin base length 22.8–26.4% SL, caudal-peduncle depth 9.2–10.5% SL, 40 vertebrae, having a conspicuous paired dark brown stripe on the dorsal surface of body, extending from posterior margin of head to caudal-fin insertion and a wide dark brown midlateral stripe present. The isolated occurrence of this new taxon living in allopatry in coastal drainages of the SNSM could have interesting biogeographic implications for dispersal and vicariance processes of the ichthyofauna from northern South America.
- PublicaciónSólo datosA Note on the Phase Congruence Method in Image Analysis(Lecture Notes in Computer Science, 2019-03-03) Forero Vargas, Manuel Guillermo; Jacanamejoy, Carlos A.Phase congruence technique developed by Kovesi allows the detection of edges in images by analyzing the phases of their frequency components. A limitation of this technique is that it does not allow the detection of closely spaced edges that have different intensities. However, this situation occurs frequently in images, which therefore limits the use of this method. This study aims to propose a method that can overcome this limitation. Unlike the original technique, the proposed study uses a high degree of overlap between different frequency components to allow the detection of contiguous edges of low intensity. To avoid the problems that arise from high overlap, we modify the sensitivity of the phase congruence, allowing us to detect weak edges while discarding the noise associated with the proposed changes. We present our results and compare them with the results obtained using the existing technique.
- PublicaciónSólo datosA Personal Activity Recognition System Based on Smart Devices(Communications in Computer and Information Science, 2019-10-16) Murcia, Harold F.; Triana, JuanitaWith the continuous evolution of technology, mobile devices are becoming more and more important in people’s lives. In the same way, new needs related to the information provided by their users arise, making evident the need to develop systems that take advantage of their daily use. The recognition of personal activity based on the information provided by the last generation mobile devices can easily be considered as an useful tool for many purposes and future applications. This paper presents the use of information provided from two smart devices in different acquisition schemes, assessing conventional supervised classifiers to recognize personal activity by an identification of seven classes. The classifiers were trained with a generated database from eight users and were evaluated in offline mode with other two generated databases. The prediction experiments were qualified by using F1-score indicator and were compared with the native prediction from the cellphone. The obtained results presented a maximum F1-score of 100% for the first validation test and 80.7% for the second validation test.
- PublicaciónSólo datosA selective thioxothiazolidin-coumarin probe for Hg2+ based on its desulfurization reaction. Exploring its potential for live cell imaging(Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2020-01-01) Aliaga, Margarita E.; Gazitua, Marcela; Rojas-Bolaños, Andrea; Fuentes-Estrada, Marcial; Durango, Diego; García-Beltrán, OlimpoSensing the most toxic heavy metal (mercury) has attracted a lot of attention in recent years due to its extreme harmfulness to both human health and the environment. Thus, we reported herein the synthesis, spectroscopic and kinetic characterization, and biological evaluation of a new thioxothiazolidin coumarin derivative (ILA92), which undergoes a desulfurization reaction induced by mercuric ions (Hg2+). This process is the origin of a selective sensing of Hg2+ ions in aqueous solution by colorimetric and fluorescent methods. Furthermore, the probe showed great potential for imaging Hg2+ in living cells.
- PublicaciónSólo datosA Single-Phase Transformer-Based Cascaded Asymmetric Multilevel Inverter With Balanced Power Distribution(IEEE Access, 2019-07-22) Lopez-Santos, Oswaldo; Jacanamejoy-Jamioy, Carlos A.; Salazar-D’Antonio, Diego F.; Corredor-Ramírez, Julian R.; García, Germain; Martinez-Salamero, LuisThis paper introduces a method to enforce balanced power distribution between the stages of a single-phase transformer-based cascaded multilevel inverter using the new asymmetric ratio 6:7:8:9 between stages. Since the inverter is fed by a single DC source, asymmetry is enforced by means of the transformer turns ratio providing multiple redundant switching patterns to synthesize an output signal of until 35 levels. As it is developed in the paper, optimum switching patterns for the proposed ratio allow reducing typical power unbalance produced by commonly used ratios in four stage multilevel inverters (1:2:4:8 and 1:3:9:27). The proposed method consists on determining off-line the best switching patterns for minimizing deviation error, and then, storing them as lock-up tables in the digital device controlling the inverter. By permanently reproducing the selected switching patterns, balanced power distribution is achieved. A closed-loop control approach to regulate the RMS value of the output voltage compatible with the proposed method is also developed. The experimental results using a laboratory prototype are presented validating the entire approach.
- PublicaciónSólo datosA systematic review of empirical and simulation studies evaluating the health impact of transportation interventions(Environmental Research, 2020-07-01) Stankov, Ivana; M.T. Garcia, Leandro; Mascolli, Maria Antonietta; Montes, Felipe; Meisel, José D.; Gouveia, Nelson; Sarmiento, Olga L.; Rodriguez, Daniel A.; Hammond, Ross A.; Teixeira Caiaffa, Waleska; Diez Roux, Ana V.Urban transportation is an important determinant of health and environmental outcomes, and therefore essential to achieving the United Nation's Sustainable Development Goals. To better understand the health impacts of transportation initiatives, we conducted a systematic review of longitudinal health evaluations involving: a) bus rapid transit (BRT); b) bicycle lanes; c) Open Streets programs; and d) aerial trams/cable cars. We also synthesized systems-based simulation studies of the health-related consequences of walking, bicycling, aerial tram, bus and BRT use. Two reviewers screened 3302 unique titles and abstracts identified through a systematic search of MEDLINE (Ovid), Scopus, TRID and LILACS databases. We included 39 studies: 29 longitudinal evaluations and 10 simulation studies. Five studies focused on low- and middle-income contexts. Of the 29 evaluation studies, 19 focused on single component bicycle lane interventions; the rest evaluated multi-component interventions involving: bicycle lanes (n = 5), aerial trams (n = 1), and combined bicycle lane/BRT systems (n = 4). Bicycle lanes and BRT systems appeared effective at increasing bicycle and BRT mode share, active transport duration, and number of trips using these modes. Of the 10 simulation studies, there were 9 agent-based models and one system dynamics model. Five studies focused on bus/BRT expansions and incentives, three on interventions for active travel, and the rest investigated combinations of public transport and active travel policies. Synergistic effects were observed when multiple policies were implemented, with several studies showing that sizable interventions are required to significantly shift travel mode choices. Our review indicates that bicycle lanes and BRT systems represent promising initiatives for promoting population health. There is also evidence to suggest that synergistic effects might be achieved through the combined implementation of multiple transportation policies. However, more rigorous evaluation and simulation studies focusing on low- and middle-income countries, aerial trams and Open Streets programs, and a more diverse set of health and health equity outcomes is required.
- PublicaciónSólo datosA systematic review of empirical and simulation studies evaluating the health impact of transportation interventions(Environmental Research, 2020-07-10) Stankov, Ivana; Garcia, Leandro M.T.; Mascolli, Maria Antonietta; Montes, Felipe; Meisel, José D.; Gouveia, Nelson; Sarmiento, Olga L.; Rodriguez, Daniel A.; Hammond, Ross A.; Teixeira Caiaffa, Waleska; Diez Roux, Ana V.Urban transportation is an important determinant of health and environmental outcomes, and therefore essential to achieving the United Nation's Sustainable Development Goals. To better understand the health impacts of transportation initiatives, we conducted a systematic review of longitudinal health evaluations involving: a) bus rapid transit (BRT); b) bicycle lanes; c) Open Streets programs; and d) aerial trams/cable cars. We also synthesized systems-based simulation studies of the health-related consequences of walking, bicycling, aerial tram, bus and BRT use. Two reviewers screened 3302 unique titles and abstracts identified through a systematic search of MEDLINE (Ovid), Scopus, TRID and LILACS databases. We included 39 studies: 29 longitudinal evaluations and 10 simulation studies. Five studies focused on low- and middle-income contexts. Of the 29 evaluation studies, 19 focused on single component bicycle lane interventions; the rest evaluated multi-component interventions involving: bicycle lanes (n = 5), aerial trams (n = 1), and combined bicycle lane/BRT systems (n = 4). Bicycle lanes and BRT systems appeared effective at increasing bicycle and BRT mode share, active transport duration, and number of trips using these modes. Of the 10 simulation studies, there were 9 agent-based models and one system dynamics model. Five studies focused on bus/BRT expansions and incentives, three on interventions for active travel, and the rest investigated combinations of public transport and active travel policies. Synergistic effects were observed when multiple policies were implemented, with several studies showing that sizable interventions are required to significantly shift travel mode choices. Our review indicates that bicycle lanes and BRT systems represent promising initiatives for promoting population health. There is also evidence to suggest that synergistic effects might be achieved through the combined implementation of multiple transportation policies. However, more rigorous evaluation and simulation studies focusing on low- and middle-income countries, aerial trams and Open Streets programs, and a more diverse set of health and health equity outcomes is required.
- PublicaciónSólo datosA Toll-receptor map underlies structural brain plasticity(eLife, 2020-02-18) Li, Guiyi; Forero, Manuel G.; Wentzell, Jill S.; Durmus, Ilgim; Wolf, Reinhard; Anthoney, Niki C.; Parker, Mieczyslaw; Jiang, Ruiying; Hasenauer, Jacob; Strausfeld, Nicholas James; Heisenberg, Martin; Hidalgo, AliciaExperience alters brain structure, but the underlying mechanism remained unknown. Structural plasticity reveals that brain function is encoded in generative changes to cells that compete with destructive processes driving neurodegeneration. At an adult critical period, experience increases fiber number and brain size in Drosophila. Here, we asked if Toll receptors are involved. Tolls demarcate a map of brain anatomical domains. Focusing on Toll-2, loss of function caused apoptosis, neurite atrophy and impaired behaviour. Toll-2 gain of function and neuronal activity at the critical period increased cell number. Toll-2 induced cycling of adult progenitor cells via a novel pathway, that antagonized MyD88-dependent quiescence, and engaged Weckle and Yorkie downstream. Constant knock-down of multiple Tolls synergistically reduced brain size. Conditional over-expression of Toll-2 and wek at the adult critical period increased brain size. Through their topographic distribution, Toll receptors regulate neuronal number and brain size, modulating structural plasticity in the adult brain.
- PublicaciónSólo datosA Tuning Method for Diatom Segmentation Techniques(Applied sciences, 2017-07-27) Rojas Camacho, Oswaldo; Forero, Manuel G.; Menéndez, José ManuelPhytoplankton such as diatoms or desmids are useful for monitoring water quality. Manual image analysis is impractical due to the huge diversity of this group of microalgae and its great morphological plasticity, hence the importance of automating the analysis procedure. High-resolution images of phytoplankton cells can now be acquired by digital microscopes, which facilitate automating the analysis and identification process of specimens. Therefore, new systems of image analysis are potentially advantageous compared to manual methods of counting for solution identification. Segmentation is an important step in the analysis of phytoplankton images. Many standard techniques like thresholding and edge detection are employed in the segmentation of diatoms and other phytoplankton, which are crucial organisms in microscopy images. However, in general, they require several parameters to be fixed beforehand by the user in order to get the best results. This process is usually done by comparing results and looking for the best parameters. To automatize this process, we propose an automatic tuning method to find the optimal parameters in an iterative procedure, called Parametric Segmentation Tuning (PST). This technique compares successive segmentation results, choosing the ones that gets the maximal similarity. In this paper, tuning is formulated as an optimization problem using a similarity function within the solution space. This space consists of the set of binary images that are generated by the segmentation technique to be tuned, where these binary images are seen as a function of the original images and the segmentation parameters. The PST technique was tested with two of the most popular techniques employed to segment phytoplankton images: the Canny edge detection and a binarisation method. The results of the thresholding technique were validated by comparing them to those of the Otsu method and the Canny method with a ground truth. They show that PST is effective to find the best parameters.