Pakistan Science News API

{
    "totalArticles": 17478,
    "articles": [
        {
            "id": "155bf5280507d71d7aa83172320202f7",
            "title": "BoxCell: Leveraging SAM for Cell Segmentation with Box Supervision",
            "description": "Cell segmentation in histopathological images is vital for diagnosis, and treatment of several diseases. Annotating data is tedious, and requires medical expertise, making it difficult to employ supervised learning. Instead, we study a weakly supervised setting, where only bounding box supervision is available, and present the use of Segment Anything (SAM) for this without any finetuning, i.e., directly utilizing the pre-trained model. We propose BoxCell, a cell segmentation framework that utilizes SAM’s capability to interpret bounding boxes as prompts, both at train and test times. At train time, gold bounding boxes given to SAM produce (pseudo-)masks, which are used to train a standalone segmenter. At test time, BoxCell generates two segmentation masks: (1) generated by this standalone segmenter, and (2) a trained object detector outputs bounding boxes, which are given as prompts to SAM to produce another mask. Recognizing complementary strengths, we reconcile the two segmentation masks using a novel integer programming formulation with intensity and spatial constraints. We experiment on three publicly available cell segmentation datasets namely, CoNSep, MoNuSeg, and TNBC, and find that BoxCell significantly outperforms existing box supervised image segmentation models, obtaining 6-10 point Dice gains.",
            "content": "Lu, C. et al. Nuclear shape and orientation features from h &e images predict survival in early-stage estrogen receptor-positive breast cancers. Lab. Invest. 98, 1438–1448 (2018).\nWählby, C., Sintorn, I.-M., Erlandsson, F., Borgefors, G. & Bengtsson,... [8187 chars]",
            "url": "https://www.nature.com/articles/s41598-025-26789-1?error=cookies_not_supported&code=820f9841-47f1-4f9c-ad6d-043149a7de98",
            "image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
            "publishedAt": "2025-11-22T20:33:27Z",
            "lang": "en",
            "source": {
                "id": "7abf0df285fbe93cdccffcc7c4088737",
                "name": "Nature",
                "url": "https://www.nature.com"
            }
        },
        {
            "id": "fbee9df7d2cbc5c0bc85ae7d21ec9c29",
            "title": "Hydrogenases spill the beans: Key catalytic moves revealed",
            "description": "Hydrogenases catalyze the reversible splitting and production of hydrogen gas (H2), using complex catalytic cofactors comprising Earth-abundant nickel and/or iron ions. These enzymes, especially the [NiFe]-hydrogenases (fig. 1), are remarkably efficient, making them inspiring models for clean-energy technologies. Yet despite extensive study by many groups worldwide, key steps in their catalytic cycle have remained difficult to observe.",
            "content": "Hydrogenases catalyze the reversible splitting and production of hydrogen gas (H2), using complex catalytic cofactors comprising Earth-abundant nickel and/or iron ions. These enzymes, especially the [NiFe]-hydrogenases (fig. 1), are remarkably effici... [3726 chars]",
            "url": "https://phys.org/news/2025-11-hydrogenases-beans-key-catalytic-revealed.html",
            "image": "https://scx2.b-cdn.net/gfx/news/hires/2025/hydrogenases-spill-the.jpg",
            "publishedAt": "2025-11-22T14:00:02Z",
            "lang": "en",
            "source": {
                "id": "6063be7565dcd637bb5d2946ed6c5329",
                "name": "Phys.org",
                "url": "https://phys.org"
            }
        },
        {
            "id": "9e41a10a1e05b7aeb199dc0ac7f6399c",
            "title": "Scientists Intrigued by Moss Surviving on Exterior of Space Station",
            "description": "Moss can survive several months exposed to the harsh environment of outer space, according to a new paper.",
            "content": "The humble clumps of moss that grow on garden walls and between the cracks of sidewalks are hardy enough to survive the rigors of space, a new experiment found, and that means the velvety green stuff could be a promising component of future ecosystem... [2815 chars]",
            "url": "https://futurism.com/space/moss-space-station",
            "image": "https://futurism.com/wp-content/uploads/2025/11/moss-space-station.jpg?quality=85&w=1200",
            "publishedAt": "2025-11-22T14:00:00Z",
            "lang": "en",
            "source": {
                "id": "bfcf3640a8a972f0d68e8dd134988385",
                "name": "Futurism",
                "url": "https://futurism.com"
            }
        }
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}