Image Browsers Research Articles

Challenges and Solutions of Using Technology at Undergraduate Level in a Northern Border Area Government College in Bangladesh

This study seeks to detect the problems and solutions of using technology at Kurigram Government College at the undergraduate level, located in the northern border area of Bangladesh. The study presents the existing scenario of using technology in Kurigram Government College at the undergraduate level since the practice of technology in the class is not standard. Semi-structured interviews and focus group methods have been applied, following the qualitative method. The principal and four teachers were selected for semi-structured interviews from three faculties, namely science, arts and social science, and business studies. Simultaneously, 40 students (20 males and 20 female) participated in the focus group discussion at the undergraduate level. A purposive sampling method was used to select participants. After collecting the qualitative data from semi-structured interviews and focus group discussions, the data was analyzed. Lack of training in preparing PowerPoint slides, dependency on following the traditional lecture method, the senior teacher's unwillingness to receive the training on technology, and limitations such as load shedding, low speed of the internet, inadequate internet facilities, and the absence of a biometric system are the main causes of not using technology in the class at the undergraduate level. Based on the problems, the study provides some recommendations. Proper training on technology for the teachers should be mandatory. Moreover, the use of email, video, mobile, image multimedia projectors, Facebook, and browsers can strengthen the quality of class. Through the use of these devices and mediums, the transmission of ideas and documents can easily be accessed.

Highly multiplexed immunofluorescence images and single-cell data of immune markers in tonsil and lung cancer

In this data descriptor, we document a dataset of multiplexed immunofluorescence images and derived single-cell measurements of immune lineage and other markers in formaldehyde-fixed and paraffin-embedded (FFPE) human tonsil and lung cancer tissue. We used tissue cyclic immunofluorescence (t-CyCIF) to generate fluorescence images which we artifact corrected using the BaSiC tool, stitched and registered using the ASHLAR algorithm, and segmented using ilastik software and MATLAB. We extracted single-cell features from these images using HistoCAT software. The resulting dataset can be visualized using image browsers and analyzed using high-dimensional, single-cell methods. This dataset is a valuable resource for biological discovery of the immune system in normal and diseased states as well as for the development of multiplexed image analysis and viewing tools.

First steps toward an electronic field guide for plants

AbstractWe describe an ongoing project to digitize information about plant specimens and make it available to botanists in the field. This first requires digital images and models, and then effective retrieval and mobile computing mechanisms for accessing this information. We have almost completed a digital archive of the collection of type specimens at the Smithsonian Institution Department of Botany. Using these and additional images, we have also constructed prototype electronic field guides for the flora of Plummers Island. Our guides use a novel computer vision algorithm to compute leaf similarity. This algorithm is integrated into image browsers that assist a user in navigating a large collection of images to identify the species of a new specimen. For example, our systems allow a user to photograph a leaf and use this image to retrieve a set of leaves with similar shapes. We measured the effectiveness of one of these systems with recognition experiments on a large dataset of images, and with user studies of the complete retrieval system. In addition, we describe future directions for acquiring models of more complex, 3D specimens, and for using new methods in wearable computing to interact with data in the 3D environment in which it is acquired.

Evaluating image browsers using structured annotation

In this article we address the problem of benchmarking image browsers. Image browsers are systems that help the user in finding an image from scratch, as opposed to query by example (QBE), where an example image is needed. The existence of different search paradigms for image browsers makes it difficult to compare image browsers. Currently, the only admissible way of evaluation is by conducting large-scale user studies. This makes it difficult to use such an evaluation as a tool for improving browsing systems. As a solution, we propose an automatic image browser benchmark that uses structured text annotation of the image collection for the simulation of the user's needs. We apply such a benchmark on an example system.

Evaluating image browsers using structured annotation

AbstractIn this article we address the problem of benchmarking image browsers. Image browsers are systems that help the user in finding an image from scratch, as opposed to query by example (QBE), where an example image is needed. The existence of different search paradigms for image browsers makes it difficult to compare image browsers. Currently, the only admissible way of evaluation is by conducting large‐scale user studies. This makes it difficult to use such an evaluation as a tool for improving browsing systems. As a solution, we propose an automatic image browser benchmark that uses structured text annotation of the image collection for the simulation of the user's needs. We apply such a benchmark on an example system.